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Development of Nonlaboratory-Based Risk Prediction Models for Cardiovascular Diseases Using Conventional and Machine Learning Approaches.
Sajid, Mirza Rizwan; Almehmadi, Bader A; Sami, Waqas; Alzahrani, Mansour K; Muhammad, Noryanti; Chesneau, Christophe; Hanif, Asif; Khan, Arshad Ali; Shahbaz, Ahmad.
Afiliação
  • Sajid MR; Department of Statistics, University of Gujrat, Gujrat 50700, Pakistan.
  • Almehmadi BA; Department of Internal Medicine, College of Medicine, Majmaah University, Almajmaah 11952, Saudi Arabia.
  • Sami W; Department of Community Medicine and Public Health, College of Medicine, Majmaah University, Almajmaah 11952, Saudi Arabia.
  • Alzahrani MK; Azra Naheed Medical College, Superior University, Lahore 54000, Pakistan.
  • Muhammad N; Department of Family Medicine, College of Medicine, Majmaah University, Almajmaah 11952, Saudi Arabia.
  • Chesneau C; Centre of Excellence for Data Science and Artificial Intelligence, Universiti Malaysia Pahang, Kuantan 26300, Malaysia.
  • Hanif A; Centre for Mathematical Sciences, College of Computing and Applied Sciences, Universiti Malaysia Pahang, Kuantan 26300, Malaysia.
  • Khan AA; Department of Mathematics, University of Caen-Normandie, 14032 Caen, France.
  • Shahbaz A; University Institute of Public health, Faculty of Allied Health Sciences, University of Lahore, Lahore 54000, Pakistan.
Int J Environ Res Public Health ; 18(23)2021 11 29.
Article em En | MEDLINE | ID: mdl-34886312
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares Idioma: En Ano de publicação: 2021 Tipo de documento: Article