Evaluation of low-and middle-income countries according to cardiovascular disease risk factors by using pythagorean fuzzy AHP and TOPSIS methods

Identifying disease risk factors and preventing or reducing risks are crucial in combating cardiovascular diseases. Therefore, it is recommended that countries ranking higher take remedial actions to reduce disease risk.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2024-11-28
DOI
https://doi.org/10.1186/s12911-024-02769-9
Citations
4
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
1.96
Controls
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article

Evaluation of low-and middle-income countries according to cardiovascular disease risk factors by using pythagorean fuzzy AHP and TOPSIS methods

Gizem Zevde AYDIN, Barış Özkan
4 citations
BMC Medical Informatics and Decision Making
Multi-Criteria Decision Making
1.96
article

Evaluation of low-and middle-income countries according to cardiovascular disease risk factors by using pythagorean fuzzy AHP and TOPSIS methods

Gizem Zevde AYDIN, Barış Özkan
article en
4 citations

Abstract

Identifying disease risk factors and preventing or reducing risks are crucial in combating cardiovascular diseases. Therefore, it is recommended that countries ranking higher take remedial actions to reduce disease risk.

BMC Medical Informatics and Decision MakingVol. 24(1)
Ondokuz Mayıs University (TR)
No poverty
Openalex Percentile: Top 12%
Multi-Criteria Decision Making
1.96
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Evaluation of low-and middle-income countries according to cardiovascular disease risk factors by using pythagorean fuzzy AHP and TOPSIS methods — Gizem Zevde AYDIN, Barış Özkan · BMC Medical Informatics and Decision Making (2024) | TGRS Research Map | TGRS