背景(考古学)
机器学习
人工智能
逻辑回归
垂体腺瘤
接收机工作特性
鉴别诊断
医学
算法
特征(语言学)
计算机科学
腺瘤
内科学
病理
生物
古生物学
语言学
哲学
作者
Ahmet Numan Demir,Deger Ayata,Ahmet Oz,Cem Sulu,Zehra Kara,Serdar Şahin,Dilan Özaydın,Bora Korkmazer,Serdar Arslan,Osman Kızılkılıç,Sema Çiftçi Doğanşen,Ö. Çelik,Hande Mefkure Özkaya,Necmettin Tanrıöver,Nurperi Gazioğlu,Pınar Kadıoğlu
标识
DOI:10.1210/clinem/dgae180
摘要
This study aimed to develop machine learning (ML) algorithms for the differential diagnosis of adrenocorticotropic hormone (ACTH)-dependent Cushing's syndrome (CS) based on biochemical and radiological features.
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