Machine learning for predicting muscle loss after radiotherapy using clinical and toxicity data in oral cavity cancer.

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Bibliographic Details
Title: Machine learning for predicting muscle loss after radiotherapy using clinical and toxicity data in oral cavity cancer.
Authors: Weng NH; Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan., Lin JB; Department of Radiation Oncology, Changhua Christian Hospital, Changhua, Taiwan., Jan YT; Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan., Lin YH; Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan., Leu YS; Department of Otolaryngology and Head Neck Surgery, MacKay Memorial Hospital, Taipei, Taiwan., Chen YJ; Department of Radiation Oncology, MacKay Memorial Hospital, 92, Section 2, Chung Shan North Road, Taipei, 10449, Taiwan., Wu KP; Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Ph.D. Program of Interdisciplinary Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Lee J; Department of Radiation Oncology, MacKay Memorial Hospital, 92, Section 2, Chung Shan North Road, Taipei, 10449, Taiwan. sinus.5706@mmh.org.tw.; School of Medicine, College of Medicine, MacKay Medical University, New Taipei City, Taiwan. sinus.5706@mmh.org.tw.
Source: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery [Eur Arch Otorhinolaryngol] 2026 Apr 29. Date of Electronic Publication: 2026 Apr 29.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9002937 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1434-4726 (Electronic) Linking ISSN: 09374477 NLM ISO Abbreviation: Eur Arch Otorhinolaryngol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1434-4726
DOI:10.1007/s00405-026-10265-1