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Health Services and Patient Satisfaction in IRAN during the COVID-19 Pandemic: A Methodology Based on Analytic Hierarchy Process and Artificial Neural Network.

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Title: Health Services and Patient Satisfaction in IRAN during the COVID-19 Pandemic: A Methodology Based on Analytic Hierarchy Process and Artificial Neural Network.
Authors: Khansari, Seyed Mohammad1 sm_khansari@yahoo.com, Arbabi, Farzin2 f.arbabi@iauctb.ac.ir, Moazen Jamshidi, Mir Hadi3 Jamshidi.hadi@pnu.ac.ir, Soleimani, Maryam4 m.soleimani@pnu.ac.ir, Ebrahimi, Pejman5 ebrahimi.pejman@stud.uni-mate.hu
Source: Journal of Risk & Financial Management. Jul2022, Vol. 15 Issue 7, p288-288. 18p.
Database: Business Source Ultimate
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  Data: Health Services and Patient Satisfaction in IRAN during the COVID-19 Pandemic: A Methodology Based on Analytic Hierarchy Process and Artificial Neural Network.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Risk+%26+Financial+Management%22">Journal of Risk & Financial Management</searchLink>. Jul2022, Vol. 15 Issue 7, p288-288. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=158267845
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/jrfm15070288
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 288
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      – TitleFull: Health Services and Patient Satisfaction in IRAN during the COVID-19 Pandemic: A Methodology Based on Analytic Hierarchy Process and Artificial Neural Network.
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            NameFull: Khansari, Seyed Mohammad
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            NameFull: Arbabi, Farzin
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            NameFull: Moazen Jamshidi, Mir Hadi
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            NameFull: Soleimani, Maryam
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            NameFull: Ebrahimi, Pejman
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          Dates:
            – D: 01
              M: 07
              Text: Jul2022
              Type: published
              Y: 2022
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              Value: 15
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              Value: 7
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