Development of a machine learning-based risk prediction model for cerebral infarction and comparison with nomogram model

Development of a cerebral infarction (CI) risk prediction model by mining routine test big data with machine learning algorithms. Cohort 1 included 2017 CI patients and health checkers, and the optimal machine learning algorithms in Extreme gradient Boosting (XgBoost), Logistic Regression (LR), Supp...

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Vydané v:	Journal of affective disorders Ročník 314; s. 341 - 348
Hlavní autori:	Li, Xuewen, Wang, Yiting, Xu, Jiancheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.10.2022
Predmet:	Cerebral infarction Extreme gradient boosting Fibrinogen Machine learning Nomogram Psychiatric/Mental Health Risk prediction Cerebral infarction Risk prediction Extreme gradient boosting Nomogram Machine learning Fibrinogen
ISSN:	0165-0327, 1573-2517, 1573-2517
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