Construction of an oligometastatic prediction model for nasopharyngeal carcinoma patients based on pathomics features and dynamic multi-swarm particle swarm optimization support vector machine.

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Title: Construction of an oligometastatic prediction model for nasopharyngeal carcinoma patients based on pathomics features and dynamic multi-swarm particle swarm optimization support vector machine.
Authors: Li Y; Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China., Zhang D; Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China., Wang Y; School of Nursing, Southwest Medical University, Luzhou, China.; Wound Healing Basic Research and Clinical Applications Key Laboratory of Luzhou, School of Nursing, Southwest Medical University, Luzhou, China., Hu Y; Department of Medical Imaging, Southwest Medical University, Luzhou, China., Wen Z; School of Nursing, Southwest Medical University, Luzhou, China.; Wound Healing Basic Research and Clinical Applications Key Laboratory of Luzhou, School of Nursing, Southwest Medical University, Luzhou, China., Yang C; School of Clinical Medicine, Southwest Medical University, Luzhou, China., Zhou P; Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, China., Cheng WH; Department of Ophthalmology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Source: Frontiers in oncology [Front Oncol] 2025 Jun 19; Vol. 15, pp. 1589919. Date of Electronic Publication: 2025 Jun 19 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2234-943X
DOI:10.3389/fonc.2025.1589919