AD Risk Prediction Model

🧮 Model Details Statistical

Internalcandidate

METRICS

target

disease_status

model_type

logistic_regression

fit_metrics

{'auc_roc': 0.87}

benchmark_name

AD Risk Prediction Benchmark — ADNI Multi-Cohort

benchmark_notes

Logistic regression on gene_expression + age + apoe_genotype; target = disease_status

EVALUATION CONTEXT

Dataset:ADNI (Alzheimer's Disease Neuroimaging Initiative) — held-out test split; AUC-ROC=0.87

Benchmark:AD Risk Prediction Benchmark — ADNI Multi-Cohort

Training data:ADNI participants: bulk gene expression, age, APOE genotype, clinical disease status labels