Open-source software tools, libraries, and applications developed by HALE Lab for healthcare analytics, medical AI, and clinical decision support systems.
A long-term aggregation mechanism intended to recognize the onset of the disease with the earliest detected symptoms.
Eliminates dependency on structured electronic medical records by design of a multi-channel convolutional attention network with explainability.
Disease prediction from unstructured nursing notes, using matrix factorization techniques.
Fuzzy similarity matching with vector space and topic modelling approaches for ICD-9 code classification.
Coherence based topic-modeling techniques were employed to capture the semantic textual features with emphasis on human interpretability.
Term weighting of nursing notes aggregated using similarity for developing an effective CDSS.
Character, word and document-level representation of tweet data for regional-level mortality rate prediction.