A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia.

Chai, Soo See; Cheah, Whye Lian; Goh, Kok Luong; Chang, Yee Hui Robin; Sim, Kwan Yong; Chin, Kim On

Chai, Soo See; Cheah, Whye Lian; Goh, Kok Luong; Chang, Yee Hui Robin; Sim, Kwan Yong; Chin, Kim On.

Affiliation

Chai SS; Faculty of Computer Science and Information Technology, University of Malaysia Sarawak (UNIMAS), Malaysia.
Cheah WL; Department of Community Medicine and Public Health, Faculty of Medicine and Health Sciences, University of Malaysia Sarawak (UNIMAS), Malaysia.
Goh KL; School of Science and Technology, International University College of Advanced Technology Sarawak (i-CATS University College), Malaysia.
Chang YHR; Faculty of Applied Sciences, Universiti Teknologi MARA, Cawangan Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia.
Sim KY; School of Engineering, Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Malaysia.
Chin KO; Faculty Computing and Informatics, Universiti Malaysia Sabah (UMS), Malaysia.

Comput Math Methods Med ; 2021: 2794888, 2021.

Article in En | MEDLINE | ID: mdl-34917164

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Hypertension Type of study: Evaluation_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Female / Humans / Male Country/Region as subject: Asia Language: En Journal: Comput Math Methods Med Journal subject: INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: Malasia Country of publication: Estados Unidos

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