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.

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

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.

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

FDSML Course Project 2020/21

A Translator Query Language

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

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

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

Repository for the Paper: „On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series“

using NAACCR tumor registry data in i2b2, PCORNet CDM

Short scripts to demonstrate data available from MolecularMatch API (api key needed). Data includes clinical trials, drugs, publications, molecular information, bioinformatics, report generation and more.