Using clinical prediction models to personalise lifestyle interventions for cardiovascular disease prevention: A systematic literature review.

Bruninx, Anke; Scheenstra, Bart; Dekker, Andre; Maessen, Jos; van 't Hof, Arnoud; Kietselaer, Bas; Bermejo, Iñigo

Bruninx, Anke; Scheenstra, Bart; Dekker, Andre; Maessen, Jos; van 't Hof, Arnoud; Kietselaer, Bas; Bermejo, Iñigo.

Afiliação

Bruninx A; Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, the Netherlands.
Scheenstra B; Department of Cardiothoracic Surgery, Maastricht University Medical Centre+, Maastricht, the Netherlands.
Dekker A; Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands.
Maessen J; Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, the Netherlands.
van 't Hof A; Department of Cardiothoracic Surgery, Maastricht University Medical Centre+, Maastricht, the Netherlands.
Kietselaer B; Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands.
Bermejo I; Cardiovascular Research Institute Maastricht (CARIM), Maastricht, the Netherlands.

Prev Med Rep ; 25: 101672, 2022 Feb.

Article em En | MEDLINE | ID: mdl-35127352

Palavras-chave

Behavioral medicine; Cardiovascular diseases/prevention and control; Decision support techniques; Models, cardiovascular; Patient-specific modeling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Prev Med Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Holanda

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