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How to use machine learning and fuzzy cognitive maps to test hypothetical scenarios in health behavi...

How to use machine learning and fuzzy cognitive maps to test hypothetical scenarios in health behavi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dff9054622e342c5b8662152131ac639

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

About this item

Full title

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

Publisher

England: BioMed Central Ltd

Journal title

BMC public health, 2023-12, Vol.23 (1), p.2478-2478, Article 2478

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Intervention planners use logic models to design evidence-based health behavior interventions. Logic models that capture the complexity of health behavior necessitate additional computational techniques to inform decisions with respect to the design of interventions.
Using empirical data from a real intervention, the present paper demonstrates h...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_dff9054622e342c5b8662152131ac639

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dff9054622e342c5b8662152131ac639

Other Identifiers

ISSN

1471-2458

E-ISSN

1471-2458

DOI

10.1186/s12889-023-17367-z

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