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Improper or delayed intervention to severe AOM could degrade the quality of life or survival for NPC patients. An effective prediction method for severe AOM is needed for the individualized management of NPC patients in the era of personalized medicine. (2) Methods: A total of 242 biopsy-proven NPC patients were retrospectively recruited in this study. Radiomics features were extracted from contrast-enhanced CT (CECT), contrast-enhanced T1-weighted (cT1WI), and T2-weighted (T2WI) images in the primary tumor and tumor-related area. Dosiomics features were extracted from 2D or 3D dose-volume histograms (DVH). Multiple models were established with single and integrated data. The dataset was randomized into training and test sets at a ratio of 7:3 with 10-fold cross-validation. (3) Results: The best-performing model using Gaussian Naive Bayes (GNB) (mean validation AUC = 0.81 \u00b1 0.10) was established with integrated radiomics and dosiomics data. The GNB radiomics and dosiomics models yielded mean validation AUC of 0.6 \u00b1 0.20 and 0.69 \u00b1 0.14, respectively. (4) Conclusions: Integrating radiomics and dosiomics data from the primary tumor area could generate the best-performing model for severe AOM prediction.<\/jats:p>","DOI":"10.3390\/cancers15072032","type":"journal-article","created":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T01:05:26Z","timestamp":1680138326000},"page":"2032","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation Therapy"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4821-7001","authenticated-orcid":false,"given":"Yanjing","family":"Dong","sequence":"first","affiliation":[{"name":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5807-1686","authenticated-orcid":false,"given":"Jiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saikt","family":"Lam","sequence":"additional","affiliation":[{"name":"Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR, China"},{"name":"Department of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anran","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinzhi","family":"Teng","sequence":"additional","affiliation":[{"name":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1469-0754","authenticated-orcid":false,"given":"Xinyang","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Cao","sequence":"additional","affiliation":[{"name":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongxiang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou 350000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francis Karho","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Celia Waiyi","family":"Yip","sequence":"additional","affiliation":[{"name":"Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kwokhung","family":"Au","sequence":"additional","affiliation":[{"name":"Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanpeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Medical Informatics, Nantong University, Nantong 226000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6934-0108","authenticated-orcid":false,"given":"Jing","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China"},{"name":"Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR, China"},{"name":"The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518000, 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