A toolkit for developing foundation models using Electronic Health Record (EHR) data.
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Updated
May 31, 2024 - Python
A toolkit for developing foundation models using Electronic Health Record (EHR) data.
OMOP standardization pipeline for ICU databases
Toolkit for evaluating and monitoring AI models in clinical settings
To transform the MIMIC-IV FHIR dataset into a structured format suitable for analysis by converting its JSON files containing patient, condition, and encounter data into a CSV file that maps patient IDs to condition timestamps. This involves extracting, processing, and merging data to create a comprehensive and analyzable dataset.
🧪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
Implementation of the Transformer with Multi-channel attention mechanism and evalutation on the MIMIC-IV
[arXiv'24] The official implementation code of LEADER.
Official repo for "Characterizing Stigmatizing Language in Medical Records" (ACL 2023)
A customizable pipeline for data extraction from MIMIC-IV.
TemporAI-MIVDP: Adaptation of MIMIC-IV-Data-Pipeline for TemporAI
Embeddings generation from MIMIC-IV and MIMIC-CXR
Towards a CKD (Chronic Kidney Disease) dataset.
A CLI tool for extracting event logs out of MIMIC Databases.
Code for paper using causal inference to explore the process of weaning ICU patients off of mechanical ventilation.
Research Methodology Project
SG Healthcare AI Datathon 2021 - acute kidney injury (AKI) patients requiring replacement renal therapy
Descriptive & prescriptive analysis of the effects of Vasoconstrictive medication via MIMIC's database using Targeted Maximum Likelihood Estimation for Causal Inference & ML techniques
Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)
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