newsGoogle News — Machine LearningTrust 62 · AggregatorPublished yesterdayLive · 18h ago
Patient-Reported Outcomes, Machine Learning May Predict Breast Cancer Recurrence Earlier - Pharmacy Times
Patient-Reported Outcomes, Machine Learning May Predict Breast Cancer Recurrence Earlier Pharmacy Times
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 48%Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions →
- PossiblePossibly related (embedding) · 47%Scientific Explanations in Health Sciences: Causality, Trust, and Epistemic Adequacy →
- PossiblePossibly related (embedding) · 47%SYNRARE: Synthetic Rare Disease EHR Generation for ML Benchmarking →
- PossiblePossibly related (embedding) · 46%Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations →
Covers
paperExplainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature AttributionspaperScientific Explanations in Health Sciences: Causality, Trust, and Epistemic AdequacypaperSYNRARE: Synthetic Rare Disease EHR Generation for ML BenchmarkingpaperPredicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations
Related across the graph
paperSYNRARE: Synthetic Rare Disease EHR Generation for ML BenchmarkingpaperPredicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation RepresentationspaperExplainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature AttributionspaperScientific Explanations in Health Sciences: Causality, Trust, and Epistemic Adequacy