Population-level prediction of type 2 diabetes from claims data and analysis of risk factors

Big Data

Volumn 3, Issue 4, 2015, Pages 277-287

  Razavian, Narges ^a   Blecker, Saul ^b   Schmidt, Ann Marie ^c   Smith Mclallen, Aaron ^d   Nigam, Somesh ^d   Sontag, David ^a  

^a POLYTECHNIC UNIVERSITY   (United States)

^b NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NEW YORK UNIVERSITY MEDICAL CENTER   (United States)

^d Advanced Analytics Informatics Independence Blue Cross   (United States)

Author keywords

big data analytics; data mining; disease prediction; longitudinal study; machine learning; predictive analytics; risk assessment

Indexed keywords

EID: 84991830734     PISSN: 21676461     EISSN: 2167647X     Source Type: Journal    
DOI: 10.1089/big.2015.0020     Document Type: Article

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