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Prediction of acute respiratory infections using machine learning techniques in Amhara Region, Ethiopia

Published Online: 2024-11-14

Authors

Kassaw, Abdulaziz Kebede

Bekele, Gashaw

Kassaw, Ahmed Kebede

Yimer, Ali
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Text and Data Mining valid from 2024-11-14

Version of Record valid from 2024-11-14
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Article History

Received: 19 December 2023

Accepted: 17 October 2024

First Online: 14 November 2024

Declarations

:

: Not applicable.

: The authors declare no competing interests.

: The researchers received the survey data approval letter from the USAID DHS program after registering with the link and then the researchers of this study maintained the confidentiality and privacy of the data. We have obtained authorization letter from ICF to use this data and we attached the letter as an annex. The study does not require ethical approval because it was a secondary data analysis using the 2016, EDHS dataset. After receiving the data from the USAID–DHS program, the researchers in this study maintained the data’s anonymity. During the survey, informed consent was received from the study participants prior to the start of study. All methods were carried out in accordance with relevant guidelines and regulations.

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