Code for the KDD'26 paper "ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?"
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Sep 29, 2026 - Python
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clinical-prediction
Here are 70 public repositories matching this topic...
A bilingual Codex skill for reproducible clinical prediction modeling and validation in R.
r reproducible-research survival-analysis logistic-regression cox-regression clinical-prediction codex-skill
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Aug 2, 2026 - R
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
Machine learning models predicting postoperative delirium in older adults after hip fracture
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Sep 7, 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
Published in Artificial Intelligence in Health (2026) AIH. Leakage-resistant ML for cardiovascular risk prediction in diabetic patients. DOI: 10.36922/AIH025490111
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May 19, 2026 - R
Machine learning models for predicting type 1 diabetes complications — retinopathy, nephropathy, neuropathy, diabetic foot (Python, scikit-learn, XGBoost)
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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May 22, 2026 - Python
Check and correct a clinical risk model's calibration when the patient mix changes. AUC can stay at 0.89 while predicted risk is 39% too high; calshift measures it and fixes what one number can.
python machine-learning healthcare calibration model-evaluation medical-ai risk-prediction recalibration dataset-shift clinical-prediction
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Oct 25, 2026 - Python
Internally validated 30-day mortality prediction after acute myocardial infarction using ridge logistic regression, repeated nested cross-validation, calibration, bootstrap uncertainty and decision-curve analysis.
data-science machine-learning scikit-learn logistic-regression model-calibration predictive-modeling imbalanced-data nested-cross-validation ridge-regression-model medical-data-science clinical-prediction
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Sep 8, 2026 - Jupyter Notebook
Developed in collaboration with Beijing Tiantan Hospital, GlioVTE aims to predict postoperative venous thromboembolism in patients with glioma.
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Oct 27, 2026
Beginner-friendly course on machine learning in R for clinical research (EN/ES). Curso de machine learning en R para investigación clínica, para principiantes (EN/ES). Logistic regression, LASSO, random forest, XGBoost, LightGBM.
machine-learning tutorial r course random-forest spanish r-markdown xgboost rstats lightgbm logistic-regression espanol aprendizaje-automatico bilingual tidymodels clinical-prediction
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Oct 10, 2026
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
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
Competing-risks survival re-examination of the Mayo PBC cirrhosis benchmark (UCI Cirrhosis dataset): a leakage-free, reproducible pipeline benchmarking seven models against the Mayo clinical score.
benchmark machine-learning reproducible-research biostatistics survival-analysis pbc competing-risks time-to-event liver cirrhosis scikit-survival clinical-prediction
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Jun 30, 2026 - Python
COVERT: private, communication-efficient vertical federated block-term tensor regression on clinical multi-view data (imaging, ECG, labs), at parity with centralized while transmitting only a DP-noised coupling score.
machine-learning reproducible-research tensor-decomposition differential-privacy federated-learning communication-efficient secure-aggregation vertical-federated-learning clinical-prediction block-term
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Oct 20, 2026 - Python
SuperLearner Tutorial for Epidemiologists & Biostatisticians — hands-on R tutorial with clinical application, cross-validated ensemble ML, and TMLE bridge.
machine-learning tutorial r superlearner tmle biostatistics ensemble-learning epidemiology targeted-learning quarto clinical-prediction
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Oct 7, 2026 - HTML
Official manuscript-linked code release for De-NATRM, a deep causal treatment recommendation model for HER2-positive breast cancer neoadjuvant therapy.
pytorch causal-inference breast-cancer medical-ai treatment-recommendation clinical-prediction neoadjuvant-therapy
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Jul 16, 2026 - Python
Recall-oriented ML pipeline for 30-day mortality prediction after paediatric congenital heart surgery
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Aug 22, 2026 - Python
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