A Deep Learning Python Toolkit for Healthcare Applications.

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

Chronic Disease Prediction Using Medical Notes

Machine reading comprehension on clinical case reports

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

🧪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

A toolkit for evaluating and monitoring AI models in clinical settings

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

PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)

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

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.

This repository is now archived. Further development has been moved to https://github.com/medkit-lib/medkit.

Give your AI agents clinical database access, research automation, and clinician-reviewed domain knowledge for MIMIC-IV, eICU, and more.

FDSML Course Project 2020/21

To explain clinical BERT model predictions, we present an approach which leverages integrated gradients to attribute events in medical records that lead to an outcome prediction.

Concept Library - a system for storing, managing, sharing and documenting clinical code lists in health research through Phenotypes.

[JAMIA Open] A clinical terminology annotation dashboard created using Plotly Dash & the MIMIC-IV database.

Generate, manage and edit data and metadata files suitable for the import in cBioPortal for Cancer Genomics.

Deep learning for cancer symptoms monitoring on the basis of EHR unstructured clinical notes

A Translator Query Language