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Overall mortality risk analysis for rectal cancer using deep learning-based fuzzy systems.
Yang, Cheng-Hong; Chen, Wen-Ching; Chen, Jin-Bor; Huang, Hsiu-Chen; Chuang, Li-Yeh.
Affiliation
  • Yang CH; Department of Information Management, Tainan University of Technology, Tainan, Taiwan; Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan; Ph. D. Program in Biomedical Engineering, Kaohsiung Medical University, Kaohsiung, Taiwan; School o
  • Chen WC; Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan. Electronic address: F108152162@nkust.edu.tw.
  • Chen JB; Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan. Electronic address: chenjb1019@gmail.com.
  • Huang HC; Department of Community Health, Chia-Yi Christian Hospital, Chia-Yi City, Taiwan. Electronic address: 03281@cych.org.tw.
  • Chuang LY; Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan. Electronic address: chuang@isu.edu.tw.
Comput Biol Med ; 157: 106706, 2023 05.
Article in En | MEDLINE | ID: mdl-36965323
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rectal Neoplasms / Adenocarcinoma / Deep Learning Type of study: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rectal Neoplasms / Adenocarcinoma / Deep Learning Type of study: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article Country of publication: