Researchbertpediatric healthrisk stratificationshap
AI System Improves Pediatric Health Risk Stratification
|
6.9
Researchers at Hunan University of Arts and Science published in JMIR Med Inform in 2026 developed and validated an AI-driven multimodal framework to stratify pediatric health risks using a retrospective cohort of over 40,000 children aged 2–8. A BERT-based model achieved AUC-ROC 0.85 (95% CI 0.82–0.88), sensitivity 0.78, and specificity 0.80, aligning with expert assessment in 78 of 100 cases.
Scoring Rationale
Strong validated performance and clinical relevance; limited by retrospective single-cohort validation and need for broader testing.
Practice with real Health & Insurance data
90 SQL & Python problems · 15 industry datasets
Used by DS/ML engineers at top companies
250 free problems · No credit card
See all Health & Insurance problems
