How to use machine learning and fuzzy cognitive maps to test hypothetical scenarios in health behavior change interventions: a case study on fruit intake.

Mkhitaryan, Samvel; Giabbanelli, Philippe J; Wozniak, Maciej K; de Vries, Nanne K; Oenema, Anke; Crutzen, Rik

Mkhitaryan, Samvel; Giabbanelli, Philippe J; Wozniak, Maciej K; de Vries, Nanne K; Oenema, Anke; Crutzen, Rik.

Afiliación

Mkhitaryan S; Department of Health Promotion, CAPHRI, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands. mkhitarian.samvel@gmail.com.
Giabbanelli PJ; Department of Computer Science & Software Engineering, Miami University, Oxford, OH, USA.
Wozniak MK; KTH Royal Institute of Technology: Stockholm, Stockholm, SE, Sweden.
de Vries NK; Department of Health Promotion, CAPHRI, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
Oenema A; Department of Health Promotion, CAPHRI, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
Crutzen R; Department of Health Promotion, CAPHRI, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.

BMC Public Health ; 23(1): 2478, 2023 12 11.

Article en En | MEDLINE | ID: mdl-38082297

Asunto(s)

Algoritmos; Lógica Difusa; Humanos; Frutas; Conductas Relacionadas con la Salud; Aprendizaje Automático; Cognición

Palabras clave

Complex interventions; Fuzzy cognitive maps; Genetic algorithms; Machine learning

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Algoritmos / Lógica Difusa Límite: Humans Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos

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