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Prediction of COVID-19 patients’ participation in financing informal care using machine learning methods: willingness to pay and willingness to accept approaches

Crossref DOI link: https://doi.org/10.1186/s12913-024-11250-2

Published Online: 2024-07-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ramezani-Doroh, Vajihe

Najafi-Ghobadi, Somayeh

Karimi, Faride

Rangchian, Maryam

Hamidi, Omid
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Text and Data Mining valid from 2024-07-10

Version of Record valid from 2024-07-10
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Article History

Received: 22 October 2023

Accepted: 25 June 2024

First Online: 10 July 2024

Declarations

:

: All methods were carried out in accordance with relevant guidelines and regulations, and the study was approved by the Ethics Committee of the Hamadan University of Medical Sciences (Ethical code: IR.UMSHA.REC.1403.215). The funding body had no role in the design of the study and collection as well as in writing the manuscript. All participants acknowledge verbally their informed consent to participate in the study.

: Not applicable.

: The authors declared they do not have any conflict of interest.

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