This repository aim to provide a simple summary of ML reporting guidelines.
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Updated
Sep 6, 2022
This repository aim to provide a simple summary of ML reporting guidelines.
AI-powered selfhosted 3D generation and asset creation platform like Tripo Ai with a GPU-accelerated pipeline for generating, processing, optimizing, and exporting 3D assets.
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.
흉부 X선과 EHR 로 30일 재입원을 예측하고, 누수, 보정, 서브그룹, 결측 모달리티로 성능 숫자를 검증함
Bilingual TRIPOD+AI Excel workflow for clinical prediction-model reporting, evidence tracking, and manuscript action planning.
MIMIC-IV ICU 시계열로 패혈증을 조기예측하고, 성능이 처치 흔적(지름길)에서 나오는지 사전등록 기준으로 감사함
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).
Single-visit clinical model to predict problematic levodopa-induced dyskinesia in Parkinson's disease. Calculator and analysis code.
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