Predicting intraventricular hemorrhage growth with a machine learning-based, radiomics-clinical model

We constructed a radiomics-clinical model to predict intraventricular hemorrhage (IVH) growth after spontaneous intracerebral hematoma. The model was developed using a training cohort (N=626) and validated with an independent testing cohort (N=270). Radiomics features and clinical predictors were se...

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Veröffentlicht in:	Aging (Albany, NY.) NY.), 2021-05, Vol.13 (9), p.12833-12848
Hauptverfasser:	Zhu, Dong-Qin, Chen, Qian, Xiang, Yi-Lan, Zhan, Chen-Yi, Zhang, Ming-Yue, Chen, Chao, Zhuge, Qi-Chuan, Chen, Wei-Jian, Yang, Xiao-Ming, Yang, Yun-Jun
Format:	Artikel
Sprache:	eng
Schlagworte:	Research Paper
Online-Zugang:	Volltext
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