A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
- healthcare
- data-mining
- deep-learning
- preprocessing
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A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
A clinical decision-evidence benchmark: pull the one fact an answer rests on, and see whether the assistant's action moves with the evidence. Built on HealthBench.
repository for Publicly Available Clinical BERT Embeddings
Clinical Histopathology Imaging Evaluation Foundation Model
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
:hospital: Medical Text Mining and Information Extraction with spaCy
OpenScribe is an open-source AI scribe that records patient encounters and generates structured clinical notes automatically. You keep full control over data, workflows, and patient privacy with no vendor lock-in.
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.