Machine learning as a clinical decision support tool for patients with acromegaly-Reference-Cited by-同舟云学术

Machine learning as a clinical decision support tool for patients with acromegaly

Published:2022-04-18 Issue:3 Volume:25 Page:486-495
ISSN:1386-341X
Container-title:Pituitary
language:en
Short-container-title:Pituitary

Author:

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^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism

Link

https://link.springer.com/content/pdf/10.1007/s11102-022-01216-0.pdf

Reference62 articles.

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2. Colao A, Ferone D, Marzullo P, Lombardi G (2004) Systemic complications of acromegaly: epidemiology, pathogenesis, and management. Endocr Rev 25(1):102–152

3. Sherlock M, Ayuk J, Tomlinson JW, Toogood AA, Aragon-Alonso A, Sheppard MC et al (2010) Mortality in patients with pituitary disease. Endocr Rev 31(3):301–342

4. Renehan AG, O’Connell J, O’Halloran D, Shanahan F, Potten CS, O’Dwyer ST et al (2003) Acromegaly and colorectal cancer: a comprehensive review of epidemiology, biological mechanisms, and clinical implications. Horm Metab Res 35(11/12):712–725

5. Babu H, Ortega A, Nuno M, Dehghan A, Schweitzer A, Bonert HV et al (2017) Long-term endocrine outcomes following endoscopic endonasal transsphenoidal surgery for acromegaly and associated prognostic factors. Neurosurgery 81(2):357–366

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