ArticleCancer reports (Hoboken, N.J.)2024
Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Papillary Thyroid Carcinoma Variants.
Article in Cancer reports (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Artificial intelligence in focus: assessing awareness and perceptions among medical students in three private Syrian universities.BMC medical education · 2025Article
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Authors and funding
9 authors.
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Abstract
backgroundHürthle cell (HCC) and columnar cell variants (CCV) are rare subtypes of thyroid cancer.
aimsThis study used machine learning (ML) to evaluate treatment effectiveness and develop prognostic models.
methodsChi-square tests, Kaplan-Meier curves, log-rank tests, and Cox regression were used. Five ML algorithms constructed prognostic models predicting 5-year survival, validated using the AUC of the ROC curve.
resultsAmong 3690 patients, 3180 had CCV and 510 had HCC. ML models showed metastasis, surgery + RT, and age were significant factors for HCC, while the N component of TNM, metastasis, and tumor size were significant for CCV.
conclusionThis study offers a comprehensive approach for treating and assessing prognosis in PTC variants. The ML models developed offer practical tools for personalized clinical decision-making.
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