This repository aim to provide a simple summary of ML reporting guidelines.
Bilingual TRIPOD+AI Excel workflow for clinical prediction-model reporting, evidence tracking, and manuscript action planning.
Cross-dataset benchmarking of fall prediction approaches in Parkinson's disease and older adults using multi-sensor XGBoost models. Reproducibility deposit for JNER submission (Nordstern project, Mantenora GmbH i.Gr.).
Antenatal preterm-birth risk model on CDC NVSS Natality data — TRIPOD+AI reporting, temporal external validation, leakage guard, calibration, decision-curve analysis, SHAP, and subgroup fairness. Fully reproducible.
Single-visit clinical model to predict problematic levodopa-induced dyskinesia in Parkinson's disease. Calculator and analysis code.
Single-lead ECG repurposed for sleep apnea detection on real PhysioNet data, with recording-level leakage-aware validation across three model-complexity tiers (logistic regression, gradient-boosted trees, 1D-CNN).
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