Fuzzy AHP method to determine headache types based on symptoms [Fuzzy AHP M�todo para determinar los tipos de cefalea seg�n los s�ntomas]
analytical hierarchy process; Article; decision making; decision support system; fuzzy multi attribute decision making; fuzzy system; headache; health care personnel; human; information processing; pain; problem solving
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Instituto de Investigaciones Clinicas
2023
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my.uniten.dspace-233542023-05-29T14:39:44Z Fuzzy AHP method to determine headache types based on symptoms [Fuzzy AHP M�todo para determinar los tipos de cefalea seg�n los s�ntomas] Maseleno A. Tang A.Y.C. Mahmoud M.A. Othman M. Saputra S. Muslihudin M. 55354910900 36806985400 55247787300 24824928800 57203358463 57188749770 analytical hierarchy process; Article; decision making; decision support system; fuzzy multi attribute decision making; fuzzy system; headache; health care personnel; human; information processing; pain; problem solving Sometimes people are confused to treat headaches, because of economic factors and lack of health personnel, There are several types of headaches and require appropriate treatment, but the problem that arises is that the decision-making system to determine the disease is still using the manual way that doctors do. With the current technological advances, various existing problems can be solved by utilizing technology, one of them is by building Decision Support System. Decision Support System (DSS) application determine the type of Headache using Fuzzy Multi Attribute Decision Making (FMADM) Method with Analytical Hierarchy Process AHP), which is one of the methods that assist decision makers in making decisions on several criteria that will be considered. It is expected that this system can help facilitate health personnel in determining the type of patient headaches. � 2017, Instituto de Investigaciones Clinicas. All rights reserved. Final 2023-05-29T06:39:44Z 2023-05-29T06:39:44Z 2017 Article 2-s2.0-85051386668 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051386668&partnerID=40&md5=aa65b30f66204bc7bc2918df688ecaf3 https://irepository.uniten.edu.my/handle/123456789/23354 58 1 71 82 Instituto de Investigaciones Clinicas Scopus |
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analytical hierarchy process; Article; decision making; decision support system; fuzzy multi attribute decision making; fuzzy system; headache; health care personnel; human; information processing; pain; problem solving |
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55354910900 |
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55354910900 Maseleno A. Tang A.Y.C. Mahmoud M.A. Othman M. Saputra S. Muslihudin M. |
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Maseleno A. Tang A.Y.C. Mahmoud M.A. Othman M. Saputra S. Muslihudin M. |
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Maseleno A. Tang A.Y.C. Mahmoud M.A. Othman M. Saputra S. Muslihudin M. Fuzzy AHP method to determine headache types based on symptoms [Fuzzy AHP M�todo para determinar los tipos de cefalea seg�n los s�ntomas] |
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Maseleno A. |
title |
Fuzzy AHP method to determine headache types based on symptoms [Fuzzy AHP M�todo para determinar los tipos de cefalea seg�n los s�ntomas] |
title_short |
Fuzzy AHP method to determine headache types based on symptoms [Fuzzy AHP M�todo para determinar los tipos de cefalea seg�n los s�ntomas] |
title_full |
Fuzzy AHP method to determine headache types based on symptoms [Fuzzy AHP M�todo para determinar los tipos de cefalea seg�n los s�ntomas] |
title_fullStr |
Fuzzy AHP method to determine headache types based on symptoms [Fuzzy AHP M�todo para determinar los tipos de cefalea seg�n los s�ntomas] |
title_full_unstemmed |
Fuzzy AHP method to determine headache types based on symptoms [Fuzzy AHP M�todo para determinar los tipos de cefalea seg�n los s�ntomas] |
title_sort |
fuzzy ahp method to determine headache types based on symptoms [fuzzy ahp m�todo para determinar los tipos de cefalea seg�n los s�ntomas] |
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Instituto de Investigaciones Clinicas |
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2023 |
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