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A Performance Comparison on the Machine Learning Classifiers in Predictive Pathology Staging of Prostate Cancer.
Kim, Jae Kwon; Yook, In Hye; Choi, Mun Joo; Lee, Jong Sik; Park, Yong Hyun; Lee, Ji Youl; Choi, In Young.
Affiliation
  • Kim JK; Department of Computer Science and Information Engineering, Inha University, InhaRo 100, Nam-gu, Incheon, South Korea.
  • Yook IH; Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Choi MJ; Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Lee JS; Department of Computer Science and Information Engineering, Inha University, InhaRo 100, Nam-gu, Incheon, South Korea.
  • Park YH; Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Lee JY; Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Choi IY; Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Stud Health Technol Inform ; 245: 1273, 2017.
Article in En | MEDLINE | ID: mdl-29295358
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Database: MEDLINE Main subject: Prostatic Neoplasms / Machine Learning / Neoplasm Staging Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans / Male Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2017 Type: Article Affiliation country: South Korea
Search on Google
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PubMed Links

Database: MEDLINE Main subject: Prostatic Neoplasms / Machine Learning / Neoplasm Staging Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans / Male Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2017 Type: Article Affiliation country: South Korea