A Deep Learning Python Toolkit for Healthcare Applications.

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) domains. This repository contains complementary tooling in support of that specification.

Chronic Disease Prediction Using Medical Notes

An open source openEHR server

Open platform to manage and share standardized clinical data, designed by @ppazos at CaboLabs Health Informatics.

Machine reading comprehension on clinical case reports

Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"

PANDORA - Predictive Analytics aNd Data Oriented Research Applications 💻

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data

Toolkit for evaluating and monitoring AI models in clinical settings

🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109

Aggregate and analyse information on clinical trials from public registers

A web application to find patients, build cohorts and visualize health records

Traditional Chinese Medicine Clinical Records Classification. In BIBM 2016

OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing

General tutorials for the setup and use of MedCAT.

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk, Daniel Jarrett, and Mihaela van der Schaar.

Code for "Retrieve, Reason, and Refine: Generating Accurate and Faithful Discharge/Patient Instructions" (NeurIPS 2022)