MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
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Updated
Sep 1, 2026 - Jupyter Notebook
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
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.
Repository for the IEEE BHI-BSN MIMIC-III Challenge
Neurological Injury Motion Sensing (NIMS) Project
Healthcare Algorithm Laboratory
A domain-specific language for clinical decision support and biotech workflow automation
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.
Clinical LLM prompt/skill toolkit for screening, scoring, safety, documentation, and clinical calculators (renal/metabolic, CV risk, ED rules, pediatrics, geriatrics, ICU severity, primary care). Covers validated tools (PHQ-9/2, GAD-7/2, PCL-5, AUDIT-C, DAST-10, C-SSRS, ASQ, PHQ-4, K6/K10, WHO-5) with multi-platform manifests and consumer bundles.
Bridging the gap between theory and bedside practice through open-access, physiologically-weighted, evidence based, decision support tools for anesthesia and intensive care.
R port of clifpy - Standardize and analyze critical care (ICU) data
換算目前dopamine為多少mcg/kg/min
eICU workshop presented at Hack Aotearoa
AI-based system for real-time battlefield triage and medical decision support.
RemCard ICU — электронная реанимационная карта для ОРИТ и операционного блока. Windows-приложение: врач, медсестра, назначения, витальные показатели, баланс, ИВЛ, анализы и анестезиологический протокол.
Claude Code plugin: multi-agent critical-care consult. Decision support for licensed clinicians.
An AI-powered emergency trauma management training platform based on ETM/ATLS XABCDE framework, featuring interactive clinical case simulations with real-time dynamic feedback.
Offline constrained reinforcement learning toolkit for critical-care research, with ICU data processing, FQI/FQE, and interoperability tools.
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.
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