title: Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes.
authors.affiliation: National Office of Public Health Genomics, Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA. wyu@cdc.gov
authors.forename: Wei
authors.initials: W
authors.lastname: Yu
authors.forename: Tiebin
authors.initials: T
authors.lastname: Liu
authors.forename: Rodolfo
authors.initials: R
authors.lastname: Valdez
authors.forename: Marta
authors.initials: M
authors.lastname: Gwinn
authors.forename: Muin J
authors.initials: MJ
authors.lastname: Khoury
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D002965:Classification / Q000379:methods; D003920:Diabetes Mellitus / Q000175:diagnosis*; D006801:Humans; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated / Q000379:methods; D011236:Prediabetic State / Q000175:diagnosis*