Patient-tailored prioritization for a pediatric care decision support system through machine learning.
CONCLUSIONS: This study demonstrates the feasibility of EHR-driven population phenotyping for patient-tailored prioritization of pediatric preventive care services.
PMID: 23886921 [PubMed - as supplied by publisher]
Source: Journal of the American Medical Informatics Association - Category: Information Technology Authors: Klann JG, Anand V, Downs SM Tags: J Am Med Inform Assoc Source Type: research
More News: Computers | Electronic Health Records (EHR) | Information Technology | Learning | Pediatrics | Primary Care | Study | Universities & Medical Training