https://scholars.lib.ntu.edu.tw/handle/123456789/639842
標題: | Machine Learning Model with Computed Tomography Radiomics and Clinicobiochemical Characteristics Predict the Subtypes of Patients with Primary Aldosteronism | 作者: | PO-TING CHEN Li, Pei-Yan KAO-LANG LIU VIN-CENT WU YEN-HUNG LIN SHIH-CHIEH CHUEH Chen, Chung-Ming CHIN-CHEN CHANG |
關鍵字: | Computer-assisted diagnosis; Hyperaldosteronism; Neural network models; Radiomics; Subtype diagnosis | 公開日期: | 1-十二月-2023 | 來源出版物: | Academic radiology | 摘要: | Adrenal venous sampling (AVS) is the primary method for differentiating between primary aldosterone (PA) subtypes. The aim of study is to develop prediction models for subtyping of patients with PA using computed tomography (CT) radiomics and clinicobiochemical characteristics associated with PA. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/639842 | ISSN: | 10766332 | DOI: | 10.1016/j.acra.2023.10.015 |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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