Investigating Predictors of Preserved Cognitive Function in Older Women Using Machine Learning: Women's Health Initiative Memory Study.

Abstract

Authors

• Ramon Casanova
  Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
• Sarah A Gaussoin
  Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
• Robert Wallace
  College of Public Health, University of Iowa, Iowa City, IA, USA.
• Laura D Baker
  Department of Gerontology and Geriatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
• Jiu-Chiuan Chen
  Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
• JoAnn E Manson
  Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
• Victor W Henderson
  Department of Epidemiology and Population Health and of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
• Bonnie C Sachs
  Department of Social Sciences & Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, USA.
• Jamie N Justice
  Department of Gerontology and Geriatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
• Eric A Whitsel
  Department of Epidemiology, Gillings School of Global Public Health and Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
• Kathleen M Hayden
  Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, USA.
• Stephen R Rapp
  Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, USA.

Keywords

External Resources