Predicting Mortality in Subarachnoid Hemorrhage Patients Using Big Data and Machine Learning: A Nationwide Study in Türkiye

Predicting Mortality in Subarachnoid Hemorrhage Patients Using Big Data and Machine Learning: A Nationwide Study in Türkiye

Background/Objective: Subarachnoid hemorrhage (SAH) is associated with high morbidity and mortality rates, necessitating prognostic algorithms to guide decisions. Our study evaluates the use of machine learning (ML) models for predicting 1-month and 1-year mortality among SAH patients using national...

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Bibliographic Details
Main Authors: Khaniyev, Taghi, Cekic, Efecan, Gecici, Neslihan Nisa, Can, Sinem, Ata, Naim, Ulgu, Mustafa Mahir, Birinci, Suayip, Isikay, Ahmet Ilkay, Bakir, Abdurrahman, Arat, Anil, Hanalioglu, Sahin
Other Authors: Sloan School of Management
Format: Article
Published: Multidisciplinary Digital Publishing Institute 2025
Online Access:https://hdl.handle.net/1721.1/158299

Internet

https://hdl.handle.net/1721.1/158299

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