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J Res Health Sci. 2022;22(3): e00555. doi: 10.34172/jrhs.2022.90
PMID: 36511373        PMCID: PMC10422153

Original Article

Development of a machine learning-based screening method for thyroid nodules classification; by Solving the imbalance challenge in thyroid nodules data

sajad khodabandelu, Naser Ghaemian, Soraya Khafri * , Mehdi Ezoji, Sara Khaleghi

Cited by CrossRef: 1

1- Chen K, Kuo S, Shie R, Yang H. Advancing accuracy in breath testing for lung cancer: strategies for improving diagnostic precision in imbalanced data. Respir Res. 2024;25(1) [Crossref]
2- Zhao H, Wang Y, Sun Y, Wang Y, Shi B, Liu J, Zhang S. Hematological indicator-based machine learning models for preoperative prediction of lymph node metastasis in cervical cancer. Front Oncol. 2024;14 [Crossref]
3- Lu H, Liu K, Zhao H, Wang Y, Shi B. Dual-layer detector spectral CT-based machine learning models in the differential diagnosis of solitary pulmonary nodules. Sci Rep. 2024;14(1) [Crossref]
4- Jahanjoo F, Sadeghi-Bazargani H, Mansournia M, Hosseini S, Asghari-Jafarabadi M. A Hybrid of Random Forests and Generalized Path Analysis: A Causal Modeling of Crashes in 52,524 Suburban Areas. J Res Health Sci. 2023;23(2):e581 [Crossref]