external-validation

AI-powered chest X-ray pneumonia detection with 86% accuracy and 96.4% sensitivity, validated on an independent (cross-operator) cohort of 485 pediatric samples. Built with TensorFlow & FastAPI.

Interpretable TCGA-BRCA RNA-seq breast cancer subtype classification with ML, SHAP, pathway enrichment, and METABRIC external validation.

Reproducible regulatory transfer analysis for CRISPR interference in primary human CD4 T cells

Analysis code and de-identified local validation cohort for a GCS-free long-term mortality model in critically ill patients with acute brain injury

Independent, reproducible evaluation of diagnostic and predictive-ML classifiers from model outputs and labels only. Standard-library Python. Implements the published METH-0.2 method.

Biomedical abstract sentence classification workflow with calibration and external validation

Reproducible datasets, computational workflows, and model implementations for externally validated tabular foundation models and explainable concrete compressive strength prediction.

Benchmark honesto de descriptores de imagen para clasificar lesiones cutaneas dermatoscopicas (ISIC): 390 combinaciones descriptor x algoritmo, control del efecto de lote y validacion externa entre instituciones. AUC 0.741 fuera del archivo de entrenamiento.

Independent external validation, recalibration & fairness audit of EchoNext-Mini (AI-ECG for structural heart disease) in MIMIC-IV

Reserved-hospital evaluation of domain shift, calibration, and operating-point transportability in histopathology.

근감소증 예측 멀티모달 ML - 체성분/악력/음성/터치 피처, CatBoost+앙상블, 다기관 외부검증 (부트스트랩 AUC CI, 합성 데이터로 재현)

Auditable CROSS-WELL protocol and reproducible field-level ROP validation evidence

Reproducibility package for auditing outcome-ascertainment drift in external clinical prediction-model validation.

Evidence-aware somatic variant pathogenicity classifier. Benchmarks a Cross-Attention fusion network over ESM-2 protein embeddings against LightGBM, with gene-disjoint external validation and a leakage-audit for Type-1 circularity.

Interpretable machine-learning prediction and transportability assessment of late or persistent delirium in older ICU patients using MIMIC-IV and eICU-CRD.

Audit whether a medical-ML result measures biology or the lab that produced the data.

Minimal data-independent reference code for cross-cohort prediction of incident central obesity.