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critical-care

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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.

  • Updated Mar 22, 2025
  • C++

Bridging the gap between theory and bedside practice through open-access, physiologically-weighted, evidence based, decision support tools for anesthesia and intensive care.

  • Updated Apr 17, 2026
  • HTML

An AI-powered emergency trauma management training platform based on ETM/ATLS XABCDE framework, featuring interactive clinical case simulations with real-time dynamic feedback.

  • Updated Mar 3, 2026
  • TypeScript

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.

  • Updated Feb 21, 2026
  • Jupyter Notebook

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.

  • Updated Dec 29, 2025
  • Jupyter Notebook

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