Social Determinant - Clinical NLP Demos & Notebooks

This demo shows how social determinant terms can be detected using Spark NLP Healthcare NER and Text Classification. (...)

This demo shows how to detect social determinants of health in medical text using Spark NLP Healthcare NER models. (...)

This demo specializes in classifying assertions in text into six distinct entities: ‘Absent’, ‘Present’, ‘Someone_Else’, ‘Past’, ‘Hypothetical’, and ‘Possible’. Each entity represents a unique type of assertion, such as denoting absence, indicating presence, referring to someone else, discussing past events, speculating hypothetically, or suggesting potential conditions. (...)

This demo shows how you can detect social determinants of health in medical text using Spark NLP Healthcare Sequence Classification models. (...)

This demo shows how you can detect alcohol use in medical text using Spark NLP Healthcare Generic Classification model. (...)

This demo shows how you can detect tobacco use in medical text using Spark NLP Healthcare Generic Classification model. (...)

This demo extracts access to healthcare information related to Social Determinants of Health from various kinds of clinical documents. (...)

This demo extracts health and behaviors problems related to Social Determinants of Health from various kinds of clinical documents. (...)

This demo extracts community condition information related to Social Determinants of Health from various kinds of biomedical documents. (...)

This demo demonstrates the application of Spark NLP Healthcare Generic Classification models for detecting mental health issues, housing insecurity, and treatment status as part of social determinants of health in medical texts. (...)

This model classifies related to frailty status in the clinical documents. (...)