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A classification algorithm to predict chronic pain using both regression and machine learning - A stepwise approach.
Tsai, Pao-Feng; Wang, Chih-Hsuan; Zhou, Yang; Ren, Jiaxiang; Jones, Alisha; Watts, Sarah O; Chou, Chiahung; Ku, Wei-Shinn.
Afiliação
  • Tsai PF; School of Nursing, Auburn University, Auburn, AL 36849, United States of America. Electronic address: tsaipaofeng@auburn.edu.
  • Wang CH; Department of Educational Foundations, Leadership, and Technology, College of Education, Auburn University, Auburn, AL 36849, United States of America.
  • Zhou Y; Department of Computer Science and Software Engineering, Samuel Ginn College of Engineering, Auburn University, Auburn, AL 36849, United States of America.
  • Ren J; Department of Computer Science and Software Engineering, Samuel Ginn College of Engineering, Auburn University, Auburn, AL 36849, United States of America.
  • Jones A; Department of Speech, Language, and Hearing Sciences, College of Liberal Arts, Auburn University, Auburn, AL 36849, United States of America.
  • Watts SO; School of Nursing, Auburn University, Auburn, AL 36849, United States of America.
  • Chou C; Department of Health Outcomes Research and Policy, Harrison School of Pharmacy, Auburn University, Auburn, AL 36849, United States of America; Department of Medical Research, China Medical University Hospital, Taichung City 40447, Taiwan.
  • Ku WS; Department of Computer Science and Software Engineering, Samuel Ginn College of Engineering, Auburn University, Auburn, AL 36849, United States of America.
Appl Nurs Res ; 62: 151504, 2021 12.
Article em En | MEDLINE | ID: mdl-34815000

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dor Crônica Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dor Crônica Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article