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Machine Learning-Based Prediction of Clinical Outcomes in Microsurgical Clipping Treatments of Cerebral Aneurysms

<b>Background:</b> This study investigates the application of Machine Learning techniques to predict clinical outcomes in microsurgical clipping treatments of cerebral aneurysms, aiming to enhance healthcare processes through informed clinical decision making. <b>Methods:</b> Relying on a dataset of...

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Main Authors: Corneliu Toader, Felix-Mircea Brehar, Mugurel Petrinel Radoi, Razvan-Adrian Covache-Busuioc, Luca-Andrei Glavan, Matei Grama, Antonio-Daniel Corlatescu, Horia Petre Costin, Bogdan-Gabriel Bratu, Andrei Adrian Popa, Matei Serban, Alexandru Vladimir Ciurea
Format: Artigo
Language:Inglês
Published: MDPI AG 2024-09-01
Series:Diagnostics
Subjects:
machine learning
ruptured intracranial aneurysm
treatment outcome
microsurgical clipping
Online Access:https://www.mdpi.com/2075-4418/14/19/2156
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