Best Practices Using Pretrained Models Together

 

Entity Resolver Models and Features

In the table below, all Entity Resolver models, their features, appropriate embeddings, and AUX info are illustrated.

For instance, features of sbertresolve_ner_model_finder are under FEATURES column and it is trained using sbert_jsl_medium_uncased embeddings. Auxiliary info can be found under the AUX column if it is present.

NOTE: This table is shared just to give you a rough idea about which pretrained models can be used together. You can get better or worse performance by playing out with different models.

NO
MODEL NAME
FEATURES
EMBEDDINGS
LANGUAGE
AUX
1 sbertresolve_ner_model_finder • Maps clinical entities (NER) to the most appropriate NER model
• sbert_jsl_medium_uncased embeddings
• Returns a list of pretrained NER models
sbert_jsl_medium_uncased EN  
2 sbiobertresolve_clinical_abbreviation_acronym • Maps  clinical abbreviations and acronyms to their meanings
• sbiobert_base_cased_mli embeddings
sbiobert_base_cased_mli EN  
3 sbiobertresolve_cpt • CPT Codes
• sbiobert_base_cased_mli embeddings
sbiobert_base_cased_mli EN  
4 sbiobertresolve_cpt_augmented • Augmented version of sbiobertresolve_cpt model
• sbiobert_base_cased_mli embeddings
sbiobert_base_cased_mli EN  
5 sbiobertresolve_cpt_procedures_augmented • Procedures to CPT Codes
• sbiobert_base_cased_mli embeddings
sbiobert_base_cased_mli EN  
6 sbiobertresolve_cpt_procedures_measurements_augmented • Procedure and Measurements to CPT Codes
• sbiobert_base_cased_mli embeddings
sbiobert_base_cased_mli EN  
7 sbiobertresolve_hcc_augmented • HCC Codes
• sbiobert_base_cased_mli embeddings
sbiobert_base_cased_mli EN  
8 sbiobertresolve_icd10cm • ICD-10-CM codes
• sbiobert_base_cased_mli embeddings
sbiobert_base_cased_mli EN  
9 sbertresolve_icd10gm • German ICD10-GM Codes
• sent_bert_base_cased (DE)
sent_bert_base_cased (DE) DE  
10 sbiobertresolve_icd10cm_augmented • ICD-10-CM codes
• sbiobert_base_cased_mli embeddings
• Augmented version of sbiobertresolve_icd10cm model with synonyms, four times richer.
sbiobert_base_cased_mli EN  
11 sbiobertresolve_icd10cm_augmented_billable_hcc • ICD-10-CM codes
• sbiobert_base_cased_mli embeddings
• Provides HCC information of the codes in all_k_aux_labels column
• This column can be divided to get further details: billable status - hcc status - hcc score.
sbiobert_base_cased_mli EN HCC and Billable Information
12 sbiobertresolve_icd10cm_generalised • ICD-10-CM codes up to 3 Characters (general type of injury or disease)
• sbiobert_base_cased_mli embeddings
sbiobert_base_cased_mli EN  
13 sbiobertresolve_icd10cm_slim_billable_hcc • ICD-10-CM codes
• sbiobert_base_cased_mli embeddings
• Slim version (synonyms having low cosine similarity to unnormalized terms are dropped)
• Provides  the official resolution text within the brackets
• Provides  HCC information of the codes in all_k_aux_labels column.
• This column can be divided to get further details: billable status - hcc status - hcc score.
sbiobert_base_cased_mli EN HCC and Billable Information
14 sbertresolve_icd10cm_slim_billable_hcc_med • ICD-10-CM codes
• sbert_jsl_medium_uncased embeddings
• Slim version (synonyms having low cosine similarity to unnormalized terms are dropped)
• Provides  the official resolution text within the brackets inside the metadata.
• Provides  HCC information of the codes in all_k_aux_labels column
• This column can be divided to get further details: billable status - hcc status - hcc score.
sbert_jsl_medium_uncased EN HCC and Billable Information
15 sbiobertresolve_icd10cm_slim_normalized • ICD-10-CM codes
• sbiobert_base_cased_mli embeddings
• Slim version (synonyms having low cosine similarity to unnormalized terms are dropped)
• Provides  the official resolution text within the brackets inside the metadata.
sbiobert_base_cased_mli EN  
16 sbiobertresolve_icd10pcs • ICD-10-PCS codes
• sbiobert_base_cased_mli embeddings
sbiobert_base_cased_mli EN  
17 sbiobertresolve_icdo • ICD-O Codes (International Classification of Diseases for Oncology code)
• Provides topography codes and morphology codes comprising of Histology and Behavior codes in all_k_aux_labels columns
• sbiobert_base_cased_mli embeddings
• More granularity with respect to body parts
sbiobert_base_cased_mli EN Topography codes, Morphology codes comprising of Histology and Behavior codes
18 sbiobertresolve_icdo_base • ICD-O Codes (International Classification of Diseases for Oncology code)
• Provides topography codes and morphology codes comprising of Histology and Behavior codes in all_k_aux_labels columns
• sbiobert_base_cased_mli embeddings
• More granularity with respect to body parts
sbiobert_base_cased_mli EN Topography codes, Morphology codes comprising of Histology and Behavior codes
19 sbiobertresolve_icdo_augmented • ICD-O Codes (International Classification of Diseases for Oncology code)
• Provides topography codes and morphology codes comprising of Histology and Behavior codes in all_k_aux_labels columns
• sbiobert_base_cased_mli embeddings
• More granularity with respect to body parts
• Augmented using the site information coming from ICD10 and synonyms coming from SNOMED vocabularies.
sbiobert_base_cased_mli EN Topography codes, Morphology codes comprising of Histology and Behavior codes
20 sbiobertresolve_rxnorm • RxNorm Codes for Drugs/ Ingredients
• sbiobert_base_cased_mli  embeddings
sbiobert_base_cased_mli EN  
21 sbiobertresolve_rxnorm_augmented • RxNorm Codes for Drugs/ Ingredients
• sbiobert_base_cased_mli  embeddings
• Provides concept classes of the drugs in all_k_aux_labels column.
• Augmented version of sbiobertresolve_rxnorm model
sbiobert_base_cased_mli EN Concept classes of the drugs
22 sbiobertresolve_rxnorm_augmented_cased • RxNorm Codes for Drugs/ Ingredients
• sbiobert_base_cased_mli  embeddings
• Provides concept classes of the drugs in all_k_aux_labels column.
• Cased (unlowered) concept names
• Augmented version of sbiobertresolve_rxnorm model
sbiobert_base_cased_mli EN Concept classes of the drugs
23 sbiobertresolve_rxnorm_disposition • RxNorm Codes for Drugs/ Ingredients
• sbiobert_base_cased_mli  embeddings
• Provides dispositions of the RxNorm codes in all_k_aux_labels column.
sbiobert_base_cased_mli EN Provides dispositions of the RxNorm codes in all_k_aux_labels column.
24 sbertresolve_rxnorm_disposition • Medication entities (like drugs/ingredients) to RxNorm codes
• Provides the dispositions of the codes in all_k_aux_labels column
• sbert_jsl_medium_uncased embeddings (light)
sbert_jsl_medium_uncased EN Disposition Information
25 sbiobertresolve_jsl_rxnorm_augmented • RxNorm Codes for Drugs/ Ingredients
• sbiobert_jsl_rxnorm_cased  embeddings
• Provides concept classes of the drugs in all_k_aux_labels column.
• Augmented version of sbiobertresolve_rxnorm model
sbiobert_jsl_rxnorm_cased EN Concept classes of the drugs
26 sbluebertresolve_rxnorm_augmented_uncased • RxNorm Codes for Drugs/ Ingredients
• sbluebert_base_uncased_mli  embeddings
• Provides concept classes of the drugs in all_k_aux_labels column.
• Augmented version of sbiobertresolve_rxnorm model
sbluebert_base_uncased_mli EN Concept classes of the drugs
27 sbertresolve_jsl_rxnorm_augmented_med • RxNorm Codes for Drugs/ Ingredients
• sbert_jsl_medium_rxnorm_uncased  embeddings
• Provides concept classes of the drugs in all_k_aux_labels column.
• Augmented version of sbiobertresolve_rxnorm model
sbert_jsl_medium_rxnorm_uncased EN Concept classes of the drugs
28 sbiobertresolve_rxcui • RxCUI Codes
• sbiobert_base_cased_mli  embeddings
sbiobert_base_cased_mli EN  
29 sbluebertresolve_loinc • LOINC Codes
• sbluebert_base_uncased_mli  embeddings
sbluebert_base_uncased_mli EN  
30 sbiobertresolve_loinc • LOINC Codes
• sbiobert_base_cased_mli  embeddings
sbiobert_base_cased_mli EN  
31 sbiobertresolve_loinc_augmented • LOINC Codes
• sbiobert_base_cased_mli  embeddings
• Augmented version of sbiobertresolve_loinc
sbiobert_base_cased_mli EN  
32 sbiobertresolve_loinc_cased • LOINC Codes
• sbiobert_base_cased_mli  embeddings
• Cased (unlowered) concept names
• Augmented version of sbiobertresolve_loinc
sbiobert_base_cased_mli EN  
33 sbluebertresolve_loinc_uncased • LOINC Codes
• sbluebert_base_uncased_mli  embeddings
• Uncased (lowercased) concept names
• Augmented version of sbiobertresolve_loinc
sbluebert_base_uncased_mli EN  
34 sbiobertresolve_mesh • MeSH Codes
• sbiobert_base_cased_mli  embeddings
sbiobert_base_cased_mli EN  
35 sbiobertresolve_ndc • NDC Codes
• sbiobert_base_cased_mli  embeddings
• If a drug has more than one NDC code, it returns all other codes in the all_k_aux_label column
sbiobert_base_cased_mli EN If drugs have multiple NDC code, it returns all other codes in the all_k_aux_label column
36 sbiobertresolve_hcpcs • HCPCS Codes
• sbiobert_base_cased_mli  embeddings
sbiobert_base_cased_mli EN Domain Information
37 sbiobertresolve_HPO • Maps phenotypic abnormalities encountered in human diseases to Human Phenotype Ontology (HPO)
• Provides associated codes from the following vocabularies for each HPO code: - MeSH (Medical Subject Headings)- SNOMED- UMLS (Unified Medical Language System ) - ORPHA (international reference resource for information on rare diseases and orphan drugs) - OMIM (Online Mendelian Inheritance in Man) in all_k_aux_labels column
sbiobert_base_cased_mli EN SNOMED, MeSH, UMLS, ORPHA, OMIM Codes
38 sbiobertresolve_snomed_auxConcepts • SNOMED Codes
• sbiobert_base_cased_mli  embeddings
• Capable of extracting Morph Abnormality, Procedure, Substance, Physical Object, and Body Structure concepts of Snomed codes
sbiobert_base_cased_mli EN  
39 sbiobertresolve_snomed_auxConcepts_int • SNOMED Codes (INT Version)
• sbiobert_base_cased_mli  embeddings
• Capable of extracting Morph Abnormality, Procedure, Substance, Physical Object, and Body Structure concepts of Snomed codes
sbiobert_base_cased_mli EN  
40 sbiobertresolve_snomed_bodyStructure • SNOMED Codes for body structure
• sbiobert_base_cased_mli  embeddings
• Anatomical structures to body structure SNOMED codes
sbiobert_base_cased_mli EN  
41 sbertresolve_snomed_bodyStructure_med • SNOMED Codes for body structure
• sbert_jsl_medium_uncased  embeddings
• Anatomical structures to body structure SNOMED codes
sbert_jsl_medium_uncased EN  
42 sbiobertresolve_snomed_drug • SNOMED Codes (drug version)
• sbiobert_base_cased_mli  embeddings
• Drug entities to SNOMED codes
sbiobert_base_cased_mli EN  
43 sbiobertresolve_snomed_findings • SNOMED Codes (CT version)
• sbiobert_base_cased_mli  embeddings
sbiobert_base_cased_mli EN  
44 sbiobertresolve_snomed_findings_int • SNOMED Codes (INT version)
• sbiobert_base_cased_mli  embeddings
sbiobert_base_cased_mli EN  
45 sbiobertresolve_snomed_findings_aux_concepts • SNOMED Codes
• sbiobert_base_cased_mli  embeddings
• Capable of extracting Morph Abnormality, Procedure, Substance, Physical Object, and Body Structure concepts of Snomed codes
• Both Aux and CT versions together
sbiobert_base_cased_mli EN  
46 sbiobertresolve_snomed_procedures_measurements • SNOMED Codes for procedure and measurements
• sbiobert_base_cased_mli  embeddings
sbiobert_base_cased_mli EN  
47 sbiobertresolve_clinical_snomed_procedures_measurements • SNOMED Codes for procedure and measurements
• sbiobert_base_cased_mli  embeddings
sent_biobert_clinical_base_cased EN  
48 sbertresolve_snomed_conditions • Conditions to SNOMED Codes
• sbert_jsl_medium_uncased embeddings
sbert_jsl_medium_uncased EN  
49 robertaresolve_snomed • Spanish SNOMED Codes
• Roberta Clinical Word Embeddings (roberta_base_biomedical_es)
• averaged with SentenceEmbeddings.
roberta_base_biomedical_es ES  
50 sbertresolve_snomed • German SNOMED Codes
• sent_bert_base_cased (DE)
sent_bert_base_cased (DE) DE  
51 sbiobertresolve_umls_clinical_drugs • UMLS CUI Codes for Clinical Drugs
• sbiobert_base_cased_mli  embeddings
sbiobert_base_cased_mli EN  
52 sbiobertresolve_umls_disease_syndrome • UMLS CUI Codes for Disease and Syndrom entities
• sbiobert_base_cased_mli  embeddings
sbiobert_base_cased_mli EN  
53 sbiobertresolve_umls_drug_substance • UMLS CUI Codes for Drug and Substance entities
• sbiobert_base_cased_mli  embeddings
• Clinical Drugs, Pharmacologic Substance, Antibiotic, Hazardous or Poisonous Substance to UMLS CUI Codes
sbiobert_base_cased_mli EN  
54 sbiobertresolve_umls_findings • UMLS CUI Codes for clinical entities and concepts
• sbiobert_base_cased_mli  embeddings
• 4 major categories of UMLS CUI codes
sbiobert_base_cased_mli EN  
55 sbiobertresolve_umls_major_concepts • UMLS CUI Codes for clinical entities and concepts
• sbiobert_base_cased_mli  embeddings
• 4 major categories (Clinical Findings, Medical Devices, Anatomical Structures, and Injuries & Poisoning terms) of UMLS CUI codes
sbiobert_base_cased_mli EN  
           

Entity Resolver Model and NER Model Pairs

In the table below, you can find Entity Resolver models as well as its appropriate NER models and labels, that can return optimal results.

For instance, sbiobertresolve_hcc_augmented resolver model must be used with sbiobert_base_cased_mli as embeddings, ner_clinical as NER model, PROBLEM set in setWhiteList().

NOTE: This table is shared just to give you a rough idea about which pretrained models can be used together. You can get better or worse performance by playing out with different models.

ENTITY RESOLVER MODEL SENTENCE EMBEDDINGS NER MODEL NER MODEL WHITELIST LABEL MERGE CHUNKS (ChunkMergeApproach)
sbiobertresolve_HPO sbiobert_base_cased_mli ner_human_phenotype_gene_clinical No need to set whiteList
sbiobertresolve_cpt_procedures_measurements_augmented sbiobert_base_cased_mli ner_jsl Procedure Merge ner_jsl and ner_measurements_clinical model chunks
ner_measurements_clinical Measurements
sbiobertresolve_hcc_augmented sbiobert_base_cased_mli ner_clinical PROBLEM
sbiobertresolve_hcpcs sbiobert_base_cased_mli ner_jsl Procedure
sbiobertresolve_icd10cm_augmented_billable_hcc sbiobert_base_cased_mli ner_clinical PROBLEM
sbiobertresolve_icd10cm_generalised sbiobert_base_cased_mli ner_clinical PROBLEM
sbiobertresolve_icd10pcs sbiobert_base_cased_mli ner_jsl Procedure
sbiobertresolve_icdo_base sbiobert_base_cased_mli ner_jsl Oncological
sbiobertresolve_loinc_augmented sbiobert_base_cased_mli ner_jsl Test
BMI
HDL
LDL
Medical_Device
Temperature
Total_Cholesterol
Triglycerides
Blood_Pressure

sbiobertresolve_mesh sbiobert_base_cased_mli ner_clinical No need to set whiteList
sbiobertresolve_rxcui sbiobert_base_cased_mli ner_posology DRUG
sbiobertresolve_rxnorm_augmented sbiobert_base_cased_mli ner_posology DRUG
sbiobertresolve_rxnorm_disposition sbiobert_base_cased_mli ner_posology DRUG
sbiobertresolve_snomed_bodyStructure sbiobert_base_cased_mli ner_jsl Disease_Syndrome_Disorder
External_body_part_or_region
Merge ner_jsl and ner_anatomy_coarse model chunks
ner_anatomy_coarse No need to set whiteList
sbiobertresolve_snomed_procedures_measurements sbiobert_base_cased_mli ner_jsl Procedure
Test
BMI
HDL
LDL
Temperature
Total_Cholesterol
Triglycerides
Blood_Pressure
Merge ner_jsl and ner_measurements_clinical model chunks
ner_measurements_clinical Measurements
sbiobertresolve_snomed_findings sbiobert_base_cased_mli ner_clinical No need to set whiteList
sbiobertresolve_umls_disease_syndrome sbiobert_base_cased_mli ner_jsl Cerebrovascular_Disease
Communicable_Disease
Diabetes
Disease_Syndrome_Disorder
Heart_Disease
Hyperlipidemia
Hypertension
Injury_or_Poisoning
Kidney_Disease
Obesity
Oncological
Overweight
Psychological_Condition
Symptom
VS_Finding
ImagingFindings
EKG_Findings

sbiobertresolve_umls_clinical_drugs sbiobert_base_cased_mli ner_posology DRUG
sbiobertresolve_umls_major_concepts sbiobert_base_cased_mli ner_jsl Cerebrovascular_Disease
Communicable_Disease
Diabetes
Disease_Syndrome_Disorder
Heart_Disease
Hyperlipidemia
Hypertension
Injury_or_Poisoning
Kidney_Disease
Medical-Device
Obesity
Oncological
Overweight
Psychological_Condition
Symptom
VS_Finding
ImagingFindings
EKG_Findings

sbiobertresolve_ndc sbiobert_base_cased_mli ner_posology_greedy DRUG

Relation Extraction Models and Relation Pairs Table

In the table below, available Relation Extraction models, its labels, optimal NER model, and meaningful relation pairs are illustrated.

For instance, re_bodypart_proceduretest RE model returns (0,1) labels (binary), works optimally with ner_jsl NER model, and outputs relation pairs under the RE PAIRS column.

NOTE: This table is shared just to give you a rough idea about which pretrained models can be used together. You can get better or worse performance by playing out with different models.

NO RE MODEL RE MODEL LABELS NER MODEL RE PAIRS
1 re_bodypart_proceduretest 0,1 ner_jsl [“external_body_part_or_region-test”,
 ”test-external_body_part_or_region”,
“internal_organ_or_component-test”,
“test-internal_organ_or_component”,
“external_body_part_or_region-procedure”,
“procedure-external_body_part_or_region”,
“procedure-internal_organ_or_component”,
“internal_organ_or_component-procedure”]
2 re_ade_clinical 0,1 ner_ade_clinical [“ade-drug”,
 ”drug-ade”]
3 redl_chemprot_biobert CPR:1, CPR:2, CPR:3, CPR:4, CPR:5, CPR:6, CPR:7, CPR:8, CPR:9, CPR:10 ner_chemprot_clinical [“No need to set pairs.”]
4 re_human_phenotype_gene_clinical 0,1 ner_human_phenotype_gene_clinical [“No need to set pairs.”]
5 re_bodypart_directions 0,1 ner_jsl [“direction-external_body_part_or_region”,
“external_body_part_or_region-direction”,
“direction-internal_organ_or_component”,
“internal_organ_or_component-direction”]
6 re_bodypart_problem 0,1 ner_jsl [“internal_organ_or_component-cerebrovascular_disease”, “cerebrovascular_disease-internal_organ_or_component”,
“internal_organ_or_component-communicable_disease”, “communicable_disease-internal_organ_or_component”,
“internal_organ_or_component-diabetes”, “diabetes-internal_organ_or_component”,
“internal_organ_or_component-disease_syndrome_disorder”, “disease_syndrome_disorder-internal_organ_or_component”,
“internal_organ_or_component-ekg_findings”, “ekg_findings-internal_organ_or_component”,
“internal_organ_or_component-heart_disease”, “heart_disease-internal_organ_or_component”,
“internal_organ_or_component-hyperlipidemia”, “hyperlipidemia-internal_organ_or_component”,
“internal_organ_or_component-hypertension”, “hypertension-internal_organ_or_component”,
“internal_organ_or_component-imagingfindings”, “imagingfindings-internal_organ_or_component”,
“internal_organ_or_component-injury_or_poisoning”, “injury_or_poisoning-internal_organ_or_component”,
“internal_organ_or_component-kidney_disease”, “kidney_disease-internal_organ_or_component”,
“internal_organ_or_component-oncological”, “oncological-internal_organ_or_component”,
“internal_organ_or_component-psychological_condition”, “psychological_condition-internal_organ_or_component”,
“internal_organ_or_component-symptom”, “symptom-internal_organ_or_component”,
“internal_organ_or_component-vs_finding”, “vs_finding-internal_organ_or_component”,
“external_body_part_or_region-communicable_disease”, “communicable_disease-external_body_part_or_region”,
“external_body_part_or_region-diabetes”, “diabetes-external_body_part_or_region”,
“external_body_part_or_region-disease_syndrome_disorder”, “disease_syndrome_disorder-external_body_part_or_region”,
“external_body_part_or_region-hypertension”, “hypertension-external_body_part_or_region”,
“external_body_part_or_region-imagingfindings”, “imagingfindings-external_body_part_or_region”,
“external_body_part_or_region-injury_or_poisoning”, “injury_or_poisoning-external_body_part_or_region”,
“external_body_part_or_region-obesity”, “obesity-external_body_part_or_region”,
“external_body_part_or_region-oncological”, “oncological-external_body_part_or_region”,
“external_body_part_or_region-overweight”, “overweight-external_body_part_or_region”,
“external_body_part_or_region-symptom”, “symptom-external_body_part_or_region”,
“external_body_part_or_region-vs_finding”, “vs_finding-external_body_part_or_region”]
7 re_drug_drug_interaction_clinical DDI-advise, DDI-effect, DDI-mechanism, DDI-int, DDI-false ner_posology [“drug-drug”]
8 re_clinical TrIP, TrWP, TrCP, TrAP, TrAP, TeRP, TeCP, PIP ner_clinical [“No need to set pairs.”]
9 re_temporal_events_clinical AFTER, BEFORE, OVERLAP ner_events_clinical [“No need to set pairs.”]
10 re_temporal_events_enriched_clinical BEFORE, AFTER, SIMULTANEOUS, BEGUN_BY, ENDED_BY, DURING, BEFORE_OVERLAP ner_events_clinical [“No need to set pairs.”]
11 re_test_problem_finding 0,1 ner_jsl [“test-cerebrovascular_disease”, “cerebrovascular_disease-test”,
“test-communicable_disease”, “communicable_disease-test”,
“test-diabetes”, “diabetes-test”,
“test-disease_syndrome_disorder”, “disease_syndrome_disorder-test”,
“test-heart_disease”, “heart_disease-test”,
“test-hyperlipidemia”, “hyperlipidemia-test”,
“test-hypertension”, “hypertension-test”,
“test-injury_or_poisoning”, “injury_or_poisoning-test”,
“test-kidney_disease”, “kidney_disease-test”,
“test-obesity”, “obesity-test”,
“test-oncological”, “oncological-test”,
“test-psychological_condition”, “psychological_condition-test”,
“test-symptom”, “symptom-test”,
“ekg_findings-disease_syndrome_disorder”, “disease_syndrome_disorder-ekg_findings”,
“ekg_findings-heart_disease”, “heart_disease-ekg_findings”,
“ekg_findings-symptom”, “symptom-ekg_findings”,
“imagingfindings-cerebrovascular_disease”, “cerebrovascular_disease-imagingfindings”,
“imagingfindings-communicable_disease”, “communicable_disease-imagingfindings”,
“imagingfindings-disease_syndrome_disorder”, “disease_syndrome_disorder-imagingfindings”,
“imagingfindings-heart_disease”, “heart_disease-imagingfindings”,
“imagingfindings-hyperlipidemia”, “hyperlipidemia-imagingfindings”,
“imagingfindings-hypertension”, “hypertension-imagingfindings”,
“imagingfindings-injury_or_poisoning”, “injury_or_poisoning-imagingfindings”,
“imagingfindings-kidney_disease”, “kidney_disease-imagingfindings”,
“imagingfindings-oncological”, “oncological-imagingfindings”,
“imagingfindings-psychological_condition”, “psychological_condition-imagingfindings”,
“imagingfindings-symptom”, “symptom-imagingfindings”,
“vs_finding-cerebrovascular_disease”, “cerebrovascular_disease-vs_finding”,
“vs_finding-communicable_disease”, “communicable_disease-vs_finding”,
“vs_finding-diabetes”, “diabetes-vs_finding”,
“vs_finding-disease_syndrome_disorder”, “disease_syndrome_disorder-vs_finding”,
“vs_finding-heart_disease”, “heart_disease-vs_finding”,
“vs_finding-hyperlipidemia”, “hyperlipidemia-vs_finding”,
“vs_finding-hypertension”, “hypertension-vs_finding”,
“vs_finding-injury_or_poisoning”, “injury_or_poisoning-vs_finding”,
“vs_finding-kidney_disease”, “kidney_disease-vs_finding”,
“vs_finding-obesity”, “obesity-vs_finding”,
“vs_finding-oncological”, “oncological-vs_finding”,
“vs_finding-overweight”, “overweight-vs_finding”,
“vs_finding-psychological_condition”, “psychological_condition-vs_finding”,
“vs_finding-symptom”, “symptom-vs_finding”]
12 re_test_result_date is_finding_of, is_result_of, is_date_of, O ner_jsl [“test-test_result”, “test_result-test”,
“test-date”, “date-test”,
“test-imagingfindings”, “imagingfindings-test”,
“test-ekg_findings”, “ekg_findings-test”,
“date-test_result”, “test_result-date”,
“date-imagingfindings”, “imagingfindings-date”,
“date-ekg_findings”, “ekg_findings-date”]
13 re_date_clinical 0,1 ner_jsl [“date-admission_discharge”, “admission_discharge-date”,
“date-alcohol”, “alcohol-date”,
“date-allergen”, “allergen-date”,
“date-bmi”, “bmi-date”,
“date-birth_entity”, “birth_entity-date”,
“date-blood_pressure”, “blood_pressure-date”,
“date-cerebrovascular_disease”, “cerebrovascular_disease-date”,
“date-clinical_dept”, “clinical_dept-date”,
“date-communicable_disease”, “communicable_disease-date”,
“date-death_entity”, “death_entity-date”,
“date-diabetes”, “diabetes-date”,
“date-diet”, “diet-date”,
“date-disease_syndrome_disorder”, “disease_syndrome_disorder-date”,
“date-drug_brandname”, “drug_brandname-date”,
“date-drug_ingredient”, “drug_ingredient-date”,
“date-ekg_findings”, “ekg_findings-date”,
“date-external_body_part_or_region”, “external_body_part_or_region-date”,
“date-fetus_newborn”, “fetus_newborn-date”,
“date-hdl”, “hdl-date”,
“date-heart_disease”, “heart_disease-date”,
“date-height”, “height-date”,
“date-hyperlipidemia”, “hyperlipidemia-date”,
“date-hypertension”, “hypertension-date”,
“date-imagingfindings”, “imagingfindings-date”,
“date-imaging_technique”, “imaging_technique-date”,
“date-injury_or_poisoning”, “injury_or_poisoning-date”,
“date-internal_organ_or_component”, “internal_organ_or_component-date”,
“date-kidney_disease”, “kidney_disease-date”,
“date-ldl”, “ldl-date”,
“date-modifier”, “modifier-date”,
“date-o2_saturation”, “o2_saturation-date”,
“date-obesity”, “obesity-date”,
“date-oncological”, “oncological-date”,
“date-overweight”, “overweight-date”,
“date-oxygen_therapy”, “oxygen_therapy-date”,
“date-pregnancy”, “pregnancy-date”,
“date-procedure”, “procedure-date”,
“date-psychological_condition”, “psychological_condition-date”,
“date-pulse”, “pulse-date”,
“date-respiration”, “respiration-date”,
“date-smoking”, “smoking-date”,
“date-substance”, “substance-date”,
“date-substance_quantity”, “substance_quantity-date”,
“date-symptom”, “symptom-date”,
“date-temperature”, “temperature-date”,
“date-test”, “test-date”,
“date-test_result”, “test_result-date”,
“date-total_cholesterol”, “total_cholesterol-date”,
“date-treatment”, “treatment-date”,
“date-triglycerides”, “triglycerides-date”,
“date-vs_finding”, “vs_finding-date”,
“date-vaccine”, “vaccine-date”,
“date-vital_signs_header”, “vital_signs_header-date”,
“date-weight”, “weight-date”,
“time-admission_discharge”, “admission_discharge-time”,
“time-alcohol”, “alcohol-time”,
“time-allergen”, “allergen-time”,
“time-bmi”, “bmi-time”,
“time-birth_entity”, “birth_entity-time”,
“time-blood_pressure”, “blood_pressure-time”,
“time-cerebrovascular_disease”, “cerebrovascular_disease-time”,
“time-clinical_dept”, “clinical_dept-time”,
“time-communicable_disease”, “communicable_disease-time”,
“time-death_entity”, “death_entity-time”,
“time-diabetes”, “diabetes-time”,
“time-diet”, “diet-time”,
“time-disease_syndrome_disorder”, “disease_syndrome_disorder-time”,
“time-drug_brandname”, “drug_brandname-time”,
“time-drug_ingredient”, “drug_ingredient-time”,
“time-ekg_findings”, “ekg_findings-time”,
“time-external_body_part_or_region”, “external_body_part_or_region-time”,
“time-fetus_newborn”, “fetus_newborn-time”,
“time-hdl”, “hdl-time”,
“time-heart_disease”, “heart_disease-time”,
“time-height”, “height-time”,
“time-hyperlipidemia”, “hyperlipidemia-time”,
“time-hypertension”, “hypertension-time”,
“time-imagingfindings”, “imagingfindings-time”,
“time-imaging_technique”, “imaging_technique-time”,
“time-injury_or_poisoning”, “injury_or_poisoning-time”,
“time-internal_organ_or_component”, “internal_organ_or_component-time”,
“time-kidney_disease”, “kidney_disease-time”,
“time-ldl”, “ldl-time”,
“time-modifier”, “modifier-time”,
“time-o2_saturation”, “o2_saturation-time”,
“time-obesity”, “obesity-time”,
“time-oncological”, “oncological-time”,
“time-overweight”, “overweight-time”,
“time-oxygen_therapy”, “oxygen_therapy-time”,
“time-pregnancy”, “pregnancy-time”,
“time-procedure”, “procedure-time”,
“time-psychological_condition”, “psychological_condition-time”,
“time-pulse”, “pulse-time”,
“time-respiration”, “respiration-time”,
“time-smoking”, “smoking-time”,
“time-substance”, “substance-time”,
“time-substance_quantity”, “substance_quantity-time”,
“time-symptom”, “symptom-time”,
“time-temperature”, “temperature-time”,
“time-test”, “test-time”,
“time-test_result”, “test_result-time”,
“time-total_cholesterol”, “total_cholesterol-time”,
“time-treatment”, “treatment-time”,
“time-triglycerides”, “triglycerides-time”,
“time-vs_finding”, “vs_finding-time”,
“time-vaccine”, “vaccine-time”,
“time-vital_signs_header”, “vital_signs_header-time”,
“time-weight”, “weight-time”,
“relativedate-admission_discharge”, “admission_discharge-relativedate”,
“relativedate-alcohol”, “alcohol-relativedate”,
“relativedate-allergen”, “allergen-relativedate”,
“relativedate-bmi”, “bmi-relativedate”,
“relativedate-birth_entity”, “birth_entity-relativedate”,
“relativedate-blood_pressure”, “blood_pressure-relativedate”,
“relativedate-cerebrovascular_disease”, “cerebrovascular_disease-relativedate”,
“relativedate-clinical_dept”, “clinical_dept-relativedate”,
“relativedate-communicable_disease”, “communicable_disease-relativedate”,
“relativedate-death_entity”, “death_entity-relativedate”,
“relativedate-diabetes”, “diabetes-relativedate”,
“relativedate-diet”, “diet-relativedate”,
“relativedate-disease_syndrome_disorder”, “disease_syndrome_disorder-relativedate”,
“relativedate-drug_brandname”, “drug_brandname-relativedate”,
“relativedate-drug_ingredient”, “drug_ingredient-relativedate”,
“relativedate-ekg_findings”, “ekg_findings-relativedate”,
“relativedate-external_body_part_or_region”, “external_body_part_or_region-relativedate”,
“relativedate-fetus_newborn”, “fetus_newborn-relativedate”,
“relativedate-hdl”, “hdl-relativedate”,
“relativedate-heart_disease”, “heart_disease-relativedate”,
“relativedate-height”, “height-relativedate”,
“relativedate-hyperlipidemia”, “hyperlipidemia-relativedate”,
“relativedate-hypertension”, “hypertension-relativedate”,
“relativedate-imagingfindings”, “imagingfindings-relativedate”,
“relativedate-imaging_technique”, “imaging_technique-relativedate”,
“relativedate-injury_or_poisoning”, “injury_or_poisoning-relativedate”,
“relativedate-internal_organ_or_component”, “internal_organ_or_component-relativedate”,
“relativedate-kidney_disease”, “kidney_disease-relativedate”,
“relativedate-ldl”, “ldl-relativedate”,
“relativedate-modifier”, “modifier-relativedate”,
“relativedate-o2_saturation”, “o2_saturation-relativedate”,
“relativedate-obesity”, “obesity-relativedate”,
“relativedate-oncological”, “oncological-relativedate”,
“relativedate-overweight”, “overweight-relativedate”,
“relativedate-oxygen_therapy”, “oxygen_therapy-relativedate”,
“relativedate-pregnancy”, “pregnancy-relativedate”,
“relativedate-procedure”, “procedure-relativedate”,
“relativedate-psychological_condition”, “psychological_condition-relativedate”,
“relativedate-pulse”, “pulse-relativedate”,
“relativedate-respiration”, “respiration-relativedate”,
“relativedate-smoking”, “smoking-relativedate”,
“relativedate-substance”, “substance-relativedate”,
“relativedate-substance_quantity”, “substance_quantity-relativedate”,
“relativedate-symptom”, “symptom-relativedate”,
“relativedate-temperature”, “temperature-relativedate”,
“relativedate-test”, “test-relativedate”,
“relativedate-test_result”, “test_result-relativedate”,
“relativedate-total_cholesterol”, “total_cholesterol-relativedate”,
“relativedate-treatment”, “treatment-relativedate”,
“relativedate-triglycerides”, “triglycerides-relativedate”,
“relativedate-vs_finding”, “vs_finding-relativedate”,
“relativedate-vaccine”, “vaccine-relativedate”,
“relativedate-vital_signs_header”, “vital_signs_header-relativedate”,
“relativedate-weight”, “weight-relativedate”,
“relativetime-admission_discharge”, “admission_discharge-relativetime”,
“relativetime-alcohol”, “alcohol-relativetime”,
“relativetime-allergen”, “allergen-relativetime”,
“relativetime-bmi”, “bmi-relativetime”,
“relativetime-birth_entity”, “birth_entity-relativetime”,
“relativetime-blood_pressure”, “blood_pressure-relativetime”,
“relativetime-cerebrovascular_disease”, “cerebrovascular_disease-relativetime”,
“relativetime-clinical_dept”, “clinical_dept-relativetime”,
“relativetime-communicable_disease”, “communicable_disease-relativetime”,
“relativetime-death_entity”, “death_entity-relativetime”,
“relativetime-diabetes”, “diabetes-relativetime”,
“relativetime-diet”, “diet-relativetime”,
“relativetime-disease_syndrome_disorder”, “disease_syndrome_disorder-relativetime”,
“relativetime-drug_brandname”, “drug_brandname-relativetime”,
“relativetime-drug_ingredient”, “drug_ingredient-relativetime”,
“relativetime-ekg_findings”, “ekg_findings-relativetime”,
“relativetime-external_body_part_or_region”, “external_body_part_or_region-relativetime”,
“relativetime-fetus_newborn”, “fetus_newborn-relativetime”,
“relativetime-hdl”, “hdl-relativetime”,
“relativetime-heart_disease”, “heart_disease-relativetime”,
“relativetime-height”, “height-relativetime”,
“relativetime-hyperlipidemia”, “hyperlipidemia-relativetime”,
“relativetime-hypertension”, “hypertension-relativetime”,
“relativetime-imagingfindings”, “imagingfindings-relativetime”,
“relativetime-imaging_technique”, “imaging_technique-relativetime”,
“relativetime-injury_or_poisoning”, “injury_or_poisoning-relativetime”,
“relativetime-internal_organ_or_component”, “internal_organ_or_component-relativetime”,
“relativetime-kidney_disease”, “kidney_disease-relativetime”,
“relativetime-ldl”, “ldl-relativetime”,
“relativetime-modifier”, “modifier-relativetime”,
“relativetime-o2_saturation”, “o2_saturation-relativetime”,
“relativetime-obesity”, “obesity-relativetime”,
“relativetime-oncological”, “oncological-relativetime”,
“relativetime-overweight”, “overweight-relativetime”,
“relativetime-oxygen_therapy”, “oxygen_therapy-relativetime”,
“relativetime-pregnancy”, “pregnancy-relativetime”,
“relativetime-procedure”, “procedure-relativetime”,
“relativetime-psychological_condition”, “psychological_condition-relativetime”,
“relativetime-pulse”, “pulse-relativetime”,
“relativetime-respiration”, “respiration-relativetime”,
“relativetime-smoking”, “smoking-relativetime”,
“relativetime-substance”, “substance-relativetime”,
“relativetime-substance_quantity”, “substance_quantity-relativetime”,
“relativetime-symptom”, “symptom-relativetime”,
“relativetime-temperature”, “temperature-relativetime”,
“relativetime-test”, “test-relativetime”,
“relativetime-test_result”, “test_result-relativetime”,
“relativetime-total_cholesterol”, “total_cholesterol-relativetime”,
“relativetime-treatment”, “treatment-relativetime”,
“relativetime-triglycerides”, “triglycerides-relativetime”,
“relativetime-vs_finding”, “vs_finding-relativetime”,
“relativetime-vaccine”, “vaccine-relativetime”,
“relativetime-vital_signs_header”, “vital_signs_header-relativetime”,
“relativetime-weight”, “weight-relativetime”]
14 redl_drugprot_biobert  INHIBITOR, DIRECT-REGULATOR, SUBSTRATE, ACTIVATOR, INDIRECT-UPREGULATOR, INDIRECT-DOWNREGULATOR, ANTAGONIST, PRODUCT-OF, PART-OF, AGONIST ner_drugprot_clinical [“checmical-gene”, “chemical-gene_and_chemical”, “gene_and_chemical-gene”]
15 re_drugprot_clinical  INHIBITOR, DIRECT-REGULATOR, SUBSTRATE, ACTIVATOR, INDIRECT-UPREGULATOR, INDIRECT-DOWNREGULATOR, ANTAGONIST, PRODUCT-OF, PART-OF, AGONIST ner_drugprot_clinical [“checmical-gene”, “chemical-gene_and_chemical”, “gene_and_chemical-gene”]
16 redl_nihss_biobert Has_Value, 0 ner_nihss [“No need to set pairs.”]
Last updated