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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Principais autores:	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
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2024-09-01
叢編:	Diagnostics
主題:	machine learning ruptured intracranial aneurysm treatment outcome microsurgical clipping
在線閱讀:	https://www.mdpi.com/2075-4418/14/19/2156
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