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Multimodal data integration to predict severe acute oral mucositis of nasopharyngeal carcinoma patients following radiation therapy

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  • معلومة اضافية
    • Contributors:
      Department of Health Technology and Informatics; Research Institute for Smart Ageing; Department of Biomedical Engineering; Mainland Development Office
    • بيانات النشر:
      MDPI AG
    • الموضوع:
      2024
    • Collection:
      Hong Kong Polytechnic University: PolyU Institutional Repository (PolyU IR)
    • نبذة مختصرة :
      202403 bcvc ; Version of Record ; Others ; Shenzhen Basic Research Program; Shenzhen-Hong Kong-Macau S&T Program (Category C); Mainland-Hong Kong Joint Funding Scheme; Project of Strategic Importance Fund; Hong Kong Polytechnic University ; Published ; CC
    • ISSN:
      2072-6694
    • Relation:
      http://hdl.handle.net/10397/105366; 15; 2-s2.0-85152939339; 2032; OA_Scopus/WOS
    • الرقم المعرف:
      10.3390/cancers15072032
    • الدخول الالكتروني :
      http://hdl.handle.net/10397/105366
      https://doi.org/10.3390/cancers15072032
    • Rights:
      © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). ; The following publication Dong Y, Zhang J, Lam S, Zhang X, Liu A, Teng X, Han X, Cao J, Li H, Lee FK, et al. Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation Therapy. Cancers. 2023; 15(7):2032 is available at https://doi.org/10.3390/cancers15072032.
    • الرقم المعرف:
      edsbas.3EE1A0BC