Code for the paper "ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?"
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Jun 18, 2025 - Python
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clinical-prediction
Here are 9 public repositories matching this topic...
Advanced machine learning system for cardiovascular disease risk prediction using clinical biomarkers and patient health indicators
python machine-learning random-forest scikit-learn biomarkers medical-ai heart-disease-prediction healthcare-ml clinical-prediction cardiovascular-ai cardiology-ai patient-risk-assessment preventive-cardiology
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Oct 11, 2025 - Python
Módulo de inteligencia artificial para dabetai. Modelos de predicción de complicaciones diabéticas tipo 1 (retinopatía, nefropatía, neuropatía, pie diabético). Componente de backend para plataforma de monitoreo de la diabetes.
python machine-learning scikit-learn healthcare diabetes predictive-modeling backend-service ai-backend medical-ai diabetes-monitoring medical-research clinical-prediction type1-diabetes diabetic-complications iobp2
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Aug 9, 2025 - Python
Open-source, reproducible LSTM implementation for in-hospital mortality prediction with Focal Loss and calibration
python machine-learning deep-learning tensorflow keras calibration lstm ehr reproducibility mimic-iii synthetic-data focal-loss mortality-prediction healthcare-ai clinical-prediction
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Oct 16, 2025 - Python
ICU LOS prediction for pneumonia patients using MIMIC-III time-series data & interpretable ML
python machine-learning time-series icu xgboost mimic-iii shap healthcare-ai length-of-stay clinical-prediction
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Jan 23, 2026 - Jupyter Notebook
Clinical predictive model for fetal health classification from cardiotocogram data using logistic regression in SAS. Supports early intervention and maternal-fetal health monitoring.
sas biostatistics logistic-regression predictive-modeling statistical-modeling medical-statistics healthcare-analytics clinical-prediction
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Feb 11, 2026 - SAS
Code repository for arXiv:2602.06110
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Mar 23, 2026 - Jupyter Notebook
Predicting early functional mobility decline using longitudinal biomarker trajectories from OMOP EHR data (AMIA submission).
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Mar 9, 2026 - Jupyter Notebook
🩺 Predict in-hospital mortality using a reproducible deep learning model with LSTM, Focal Loss, and calibrated thresholds based on synthetic MIMIC-III data.
python machine-learning deep-learning tensorflow keras calibration lstm ehr reproducibility mimic-iii synthetic-data focal-loss mortality-prediction healthcare-ai clinical-prediction
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Mar 29, 2026 - Python
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