MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
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Updated
Apr 14, 2026 - Jupyter Notebook
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Repository for the IEEE BHI-BSN MIMIC-III Challenge
Welcome to the GitHub repo for "HMS - EEG Exploration & Neurocritical Care Journey"! Explore EEG data, understand wave patterns, and delve into conditions like LPDs, GPDs, LRDA, and GRDA.
Neurological Injury Motion Sensing (NIMS) Project
Healthcare Algorithm Laboratory
This project presents a Smart Wearable Medical Device (SWMD) – an IoT-based hand-band designed for critical care Alzheimer's patients. It features real-time GPS tracking, fall detection with caregiver alerts, emergency alert functionality, and monitoring of vital biomarkers, utilizing Firebase for data storage and synchronization.
A domain-specific language for clinical decision support and biotech workflow automation
Bridging the gap between theory and bedside practice through open-access, physiologically-weighted, evidence based, decision support tools for anesthesia and intensive care.
eICU workshop presented at Hack Aotearoa
An AI-powered emergency trauma management training platform based on ETM/ATLS XABCDE framework, featuring interactive clinical case simulations with real-time dynamic feedback.
⚙️ Build and train flexible generative recommendation models with modular tools, multi-GPU support, and integration with Hugging Face and LlamaFactory.
Code and data for the manuscript "Transcriptomic clustering of critically ill COVID-19 patients"
Production-grade ML system predicting ICU 30-day readmission risk (MIMIC-IV, 48K patients). Complete pipeline: data cleaning → feature engineering (181 features) → LightGBM (0.79 AUC) → deployed Streamlit app. Healthcare AI portfolio project.
Analysis code: heart-rate complexity (AC1 & Euler characteristic) as early-warning signals for septic shock — MIMIC-IV v3.1 discovery + eICU-CRD v2.0 external validation
Unsupervised learning for patient phenotype discovery in critical care hypotension cohort. Applied clustering algorithms on 5,000+ ICU patients to identify distinct subgroups with significantly different mortality rates and length of stay outcomes.
State-from-Observation representation learning for ICU EHR with SSL, clustering, and robustness evaluation.
A multi-dataset ICU pipeline harmonizing MIMIC-IV, eICU-CRD, HiRID, and AmsterdamUMCdb into CLIF 2.1.0 for offline RL research in critical care.
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