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Machine learning as a clinical decision support tool for patients with acromegaly |
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| Authors: | Sulu Cem Bektaş Ayyüce Begüm Şahin Serdar Durcan Emre Kara Zehra Demir Ahmet Numan Özkaya Hande Mefkure Tanrıöver Necmettin Çomunoğlu Nil Kızılkılıç Osman Gazioğlu Nurperi Gönen Mehmet Kadıoğlu Pınar |
| Affiliation: | 1.Department of Internal Medicine, Division of Endocrinology, Metabolism, and Diabetes, Cerrahpasa Medical School, Istanbul University-Cerrahpa?a, Kocamustafapa?a Street No:53, 34098 Fatih, Istanbul, Turkey ;2.Graduate School of Sciences and Engineering, Ko? University, Istanbul, Turkey ;3.Pituitary Center, Istanbul University-Cerrahpasa, Istanbul, Turkey ;4.Department of Neurosurgery, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey ;5.Department of Medical Pathology, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey ;6.Department of Radiology, Cerrahpasa Medical School, Istanbul University-Cerrahpasa, Istanbul, Turkey ;7.Department of Neurosurgery, Istinye University, Istanbul, Turkey ;8.Department of Industrial Engineering, College of Engineering, Ko? University, Istanbul, Turkey ;9.School of Medicine, Ko? University, Istanbul, Turkey ; |
| Abstract: | Pituitary - To develop machine learning (ML) models that predict postoperative remission, remission at last visit, and resistance to somatostatin receptor ligands (SRL) in patients with acromegaly... |
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