Autism risk classification using placental chorionic surface vascular network features

BMC medical informatics and decision making

Volumn 17, Issue 1, 2017, Pages 162-

  Chang, Jen Mei ^a   Zeng, Hui ^a   Han, Ruxu ^a   Chang, Ya Mei ^b   Shah, Ruchit ^c   Salafia, Carolyn M ^c,d,e   Newschaffer, Craig ^f   Miller, Richard K ^e,g   Katzman, Philip ^e,g   Moye, Jack ^h   Fallin, Margaret ⁱ   Walker, Cheryl K ^e,j   Croen, Lisa ^e,k  

^a CALIFORNIA STATE UNIVERSITY   (United States)

^b TAMKANG UNIVERSITY   (Taiwan)

^c Placental Analytics LLC   (United States)

^d NEW YORK STATE INSTITUTE FOR BASIC RESEARCH IN DEVELOPMENTAL DISABILITIES   (United States)

^e NATIONAL INSTITUTES OF HEALTH   (United States)

^f DREXEL UNIVERSITY   (United States)

^g UNIVERSITY OF ROCHESTER   (United States)

^h EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

ⁱ JOHNS HOPKINS UNIVERSITY   (United States)

^j UNIVERSITY OF CALIFORNIA   (United States)

^k Kaiser Research Institute   (United States)

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Author keywords

Arterial network; Autism spectrum disorder risk; Boruta algorithm; Linear discriminant analysis; Placenta; Placental chorionic surface vascular network (PCSVN); Principal component analysis; Random forest

Indexed keywords

ADULT; ALGORITHM; AUTISM; CHORION VILLUS; COHORT ANALYSIS; FEMALE; HUMAN; NEWBORN; PATHOLOGY; PLACENTA; PREGNANCY; PRINCIPAL COMPONENT ANALYSIS; RISK ASSESSMENT; VASCULARIZATION;

ADULT; ALGORITHMS; AUTISM SPECTRUM DISORDER; CHORIONIC VILLI; COHORT STUDIES; FEMALE; HUMANS; INFANT, NEWBORN; PLACENTA; PREGNANCY; PRINCIPAL COMPONENT ANALYSIS; RISK ASSESSMENT;

EID: 85045413510     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/s12911-017-0564-8     Document Type: Article

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