Outcome Prediction of Spontaneous Supratentorial Intracerebral Hemorrhage after Surgical Treatment Based on Non-Contrast Computed Tomography: A Multicenter Study

Outcome Prediction of Spontaneous Supratentorial Intracerebral Hemorrhage after Surgical Treatment Based on Non-Contrast Computed Tomography: A Multicenter Study

This study aims to explore the value of a machine learning (ML) model based on radiomics features and clinical features in predicting the outcome of spontaneous supratentorial intracerebral hemorrhage (sICH) 90 days after surgery. A total of 348 patients with sICH underwent craniotomy evacuation of...

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Bibliographic Details
Main Authors: Kangwei Zhang, Xiang Zhou, Qian Xi, Xinyun Wang, Baoqing Yang, Jinxi Meng, Ming Liu, Ningxin Dong, Xiaofen Wu, Tao Song, Lai Wei, Peijun Wang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Journal of Clinical Medicine
Subjects:
cerebral hemorrhage
surgical procedures
prognosis
machine learning
radiomics
Online Access:https://www.mdpi.com/2077-0383/12/4/1580

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