OMOP standardization pipeline for ICU databases
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Updated
Feb 24, 2025 - Python
OMOP standardization pipeline for ICU databases
REMed: Retrieval-Enhanced Medical prediction model
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
Early longer-stay risk for the renal cohort — a leakage-audited, calibrated, externally-validated clinical-ML case study (dbt + DuckDB + scikit-learn, MIMIC-IV + eICU).
Site-aware temporal EHR validation for ARDS/AHRF using MIMIC-IV and eICU
Early warning ML pipeline for ICU cardiac arrest risk using eICU-CRD with structured feature engineering and model evaluation.
Multi-module clinical ML framework for real-time ICU mortality prediction, multimorbidity risk scoring, and waveform event detection with automated MLOps drift monitoring and ensemble fusion.
Shock-anchor-aware dynamic AMI-CS risk modelling across MIMIC-IV and eICU
Reproducibility package for SAFE-CAP RL: paper policy files and methods code for CAP antibiotic-policy evaluation with local MIMIC-IV/eICU data.
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.
Causal-aware temporal prediction package for sepsis-to-septic-shock progression
COPD/asthma extubation-failure transportability workflow with deployment-gated clinical annotation
Deployment-gated severe AKI dynamic prediction workflow using MIMIC-IV and eICU
Reproducibility pipeline for "How Few Sensors Are Enough?" (IEEE Access 2026) — minimum vital-sign ML for clinical deterioration on MIMIC-IV + eICU.
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