Risk prediction of hypertension complications based on the intelligent algorithm optimized Bayesian network

Hypertension and its related complications could be a major threat issue for cardiopathy and stroke. Effective prevention and control can decrease the incidence rate of complications in hypertension. Based on the medical data of 3062 patients with cardiovascular and cerebrovascular diseases from 201...

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Veröffentlicht in:	Journal of combinatorial optimization Jg. 42; H. 4; S. 966 - 987
Hauptverfasser:	Du, Gang, Liang, Xi, Ouyang, Xiaoling, Wang, Chunming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.11.2021 Springer Nature B.V
Schlagworte:	Algorithms Back propagation networks Bayesian analysis Combinatorics Convex and Discrete Geometry Data mining Decision trees Hypertension Mathematical Modeling and Industrial Mathematics Mathematics Mathematics and Statistics Neural networks Operations Research/Decision Theory Optimization Particle swarm optimization Risk analysis Theory of Computation Improved particle swarm optimization Risk prediction Hypertension complications Intelligent algorithm optimized Bayesian network
ISSN:	1382-6905, 1573-2886
Online-Zugang:	Volltext
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