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

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

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<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>...

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Podrobná bibliografie
Hlavní autoři: 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
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2024-09-01
Edice:Diagnostics
Témata:
machine learning
ruptured intracranial aneurysm
treatment outcome
microsurgical clipping
On-line přístup:https://www.mdpi.com/2075-4418/14/19/2156

Internet

https://www.mdpi.com/2075-4418/14/19/2156

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