Machine learning-based patient classification system for adults with stroke: A systematic review.

Abstract

Authors

• Suebsarn Ruksakulpiwat
  Department of Medical Nursing, Faculty of Nursing, 26685Mahidol University, Bangkoknoi, Bangkok, Thailand.
• Witchuda Thongking
  School of Engineering Science and Mechanics, 47745Shibaura Institute of Technology, Tokyo, Japan.
• Wendie Zhou
  105821The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
• Chitchanok Benjasirisan
  Department of Medical Nursing, Faculty of Nursing, 26685Mahidol University, Bangkoknoi, Bangkok, Thailand.
• Lalipat Phianhasin
  Department of Medical Nursing, Faculty of Nursing, 26685Mahidol University, Bangkoknoi, Bangkok, Thailand.
• Nicholas K Schiltz
  *Department of Epidemiology & Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH †Department of Sociology, University of Nebraska-Lincoln, Lincoln, NE ‡Department of Health Policy and Management, George Washington University Milken Institute School of Public Health, Washington, DC §Department of Family Medicine, Michigan State University, East Lansing, MI ∥Department of Family Medicine and Community Health, Case Western Reserve University School of Medicine, Cleveland, OH.
• Smit Brahmbhatt
  The College of Arts and Sciences, 142585Case Western Reserve University, Cleveland, OH, USA.

Keywords

External Resources