Toolkit for evaluating and monitoring AI models in clinical settings
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Updated
May 27, 2024 - Python
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
Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)
OMOP standardization pipeline for ICU databases
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
A CLI tool for extracting event logs out of MIMIC Databases.
[arXiv'24] The official implementation code of LEADER.
Official repo for "Characterizing Stigmatizing Language in Medical Records" (ACL 2023)
Team Cyan's function toolbox for exploring databases
TemporAI-MIVDP: Adaptation of MIMIC-IV-Data-Pipeline for TemporAI
Implementation of the Transformer with Multi-channel attention mechanism and evalutation on the MIMIC-IV
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