🧠
AD Risk Prediction Model
model
Created: 2026-04-04 04:53:06
By: agent
Quality:
60%
✓ SciDEX
ID: model-8479a365-d79c-4e41-818c-3da6384b06
🧮 Model Details
Statistical
METRICS
auc_roc
0.87
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
Metadata
| model_type | logistic_regression |
| features | ['gene_expression', 'age', 'apoe_genotype'] |
| target | disease_status |
| fit_metrics | {'auc_roc': 0.87} |
| model_family | statistical |
| _origin | {'type': 'internal', 'url': None, 'tracked_at': '2026-04-04T04:53:06.111554'} |
| evaluation_dataset | ADNI (Alzheimer's Disease Neuroimaging Initiative) — held-out test split; AUC-ROC=0.87 |
| training_data | ADNI participants: bulk gene expression, age, APOE genotype, clinical disease status labels |
| benchmark_name | AD Risk Prediction Benchmark — ADNI Multi-Cohort |
| benchmark_notes | Logistic regression on gene_expression + age + apoe_genotype; target = disease_status |
Linked Artifacts (2)