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

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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
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  Data: Machine learning for predicting muscle loss after radiotherapy using clinical and toxicity data in oral cavity cancer.
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  Data: <searchLink fieldCode="AU" term="%22Weng+NH%22">Weng NH</searchLink>; Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+JB%22">Lin JB</searchLink>; Department of Radiation Oncology, Changhua Christian Hospital, Changhua, Taiwan.<br /><searchLink fieldCode="AU" term="%22Jan+YT%22">Jan YT</searchLink>; Department of Radiology, MacKay Memorial Hospital, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lin+YH%22">Lin YH</searchLink>; Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Leu+YS%22">Leu YS</searchLink>; Department of Otolaryngology and Head Neck Surgery, MacKay Memorial Hospital, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chen+YJ%22">Chen YJ</searchLink>; Department of Radiation Oncology, MacKay Memorial Hospital, 92, Section 2, Chung Shan North Road, Taipei, 10449, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wu+KP%22">Wu KP</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lee+J%22">Lee J</searchLink>; 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.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9002937 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1434-4726 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209374477%22">09374477 </searchLink><i>NLM ISO Abbreviation: </i>Eur Arch Otorhinolaryngol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00405-026-10265-1
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        Text: English
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      – TitleFull: Machine learning for predicting muscle loss after radiotherapy using clinical and toxicity data in oral cavity cancer.
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            – D: 29
              M: 04
              Text: 2026 Apr 29
              Type: published
              Y: 2026
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              Value: 1434-4726
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            – TitleFull: 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
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