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 15 public repositories matching this topic...
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
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
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
GCE framework for interpretable modeling in cardiac sarcoma survival using machine and deep learning. It captures complex feature relationships to enhance predictive insights and clinical understanding.
deep-learning survival-analysis explainable-ai oncology-data model-interpretability clinical-prediction nonlinear-modeling cardiac-sarcoma gce-framework seer-dataset
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Apr 13, 2026 - Python
Code repository for arXiv:2602.06110
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Mar 23, 2026 - Jupyter Notebook
Reference implementation of MicrobiomeRiskScore (MRS): a treatment-aware Transformer that predicts healthcare-associated infections from longitudinal gut microbiome dynamics. Companion code to Ma et al., npj Digital Medicine.
deep-learning pytorch transformer longitudinal-data microbiome computational-reproducibility clinical-prediction healthcare-associated-infection npj-digital-medicine
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May 5, 2026 - Python
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
Predicting early functional mobility decline using longitudinal biomarker trajectories from OMOP EHR data (AMIA submission).
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Mar 9, 2026 - Jupyter Notebook
Foundation model for health trajectory prediction — architecture shootout across Transformer, Mamba, and Continuous-Time
deep-learning time-series pytorch transformer ehr mamba longevity state-space-model medical-ai temporal-modeling mimic-iv health-prediction preventive-medicine foundation-model clinical-ml clinical-prediction biomarker-prediction health-trajectory
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Mar 30, 2026 - Python
End-to-end ML project: 30-day hospital readmission prediction using XGBoost, PostgreSQL, Python and Tableau
python flask data-science machine-learning sql rest-api scikit-learn exploratory-data-analysis postgresql pandas xgboost data-analysis tableau feature-engineering imbalanced-learning shap hospital-readmission healthcare-analytics clinical-prediction end-to-end-ml
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Apr 22, 2026 - Python
WiDS Datathon 2026 clinical prediction pipeline with gradient boosting ensembles, calibration, and leaderboard score 0.97089
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Mar 30, 2026 - Jupyter Notebook
TrajGPT vs CLMBR-T-base on EHRSHOT: training, embedding extraction, and few-shot evaluation across 15 clinical prediction tasks.
time-series pytorch representation-learning electronic-health-records few-shot-learning healthcare-ai clinical-prediction ehrshot trajgpt clmbr
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Apr 16, 2026 - Python
🩺 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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May 7, 2026 - Python
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