Improving the Diagnosis of Phenylketonuria by Using a Machine Learning–Based Screening Model of Neonatal MRM Data
Zhu Z, Gu J, Genchev G, Cai X, Wang Y, Guo J, Tian G, Lu H. Improving the Diagnosis of Phenylketonuria by Using a Machine Learning–Based Screening Model of Neonatal MRM Data. Frontiers In Molecular Biosciences 2020, 7: 115. PMID: 32733913, PMCID: PMC7358370, DOI: 10.3389/fmolb.2020.00115.Peer-Reviewed Original ResearchNerve developmentCommon genetic metabolic disorderShanghai Children's HospitalMetabolic patternsLogistic regression analysis modelNewborn Screening CenterPositive predictive valueGenetic metabolic disordersPediatric patientsChildren's HospitalPatient recallMetabolic disordersScreening centerHealth providersPredictive valueDiagnosis of phenylketonuriaScreening methodDevelopmental delayFalse positive rateRegression analysis modelHigh false positive ratePhenylketonuriaPatientsHospitalScreening data