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mHealth: A Low-Cost Approach for Effective Disease Diagnosis, Prediction, Monitoring and Management – Effective Disease Diagnosis

mHealth: A Low-Cost Approach for Effective Disease Diagnosis, Prediction, Monitoring and Management – Effective Disease Diagnosis

Gloria Ejehiohen Iyawa, Collins Oduor Ondiek, Jude Odiakaosa Osakwe
Copyright: © 2020 |Pages: 21
ISBN13: 9781799802617|ISBN10: 1799802612|EISBN13: 9781799802624
DOI: 10.4018/978-1-7998-0261-7.ch001
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MLA

Iyawa, Gloria Ejehiohen, et al. "mHealth: A Low-Cost Approach for Effective Disease Diagnosis, Prediction, Monitoring and Management – Effective Disease Diagnosis." Smart Medical Data Sensing and IoT Systems Design in Healthcare, edited by Chinmay Chakraborty, IGI Global, 2020, pp. 1-21. https://doi.org/10.4018/978-1-7998-0261-7.ch001

APA

Iyawa, G. E., Ondiek, C. O., & Osakwe, J. O. (2020). mHealth: A Low-Cost Approach for Effective Disease Diagnosis, Prediction, Monitoring and Management – Effective Disease Diagnosis. In C. Chakraborty (Ed.), Smart Medical Data Sensing and IoT Systems Design in Healthcare (pp. 1-21). IGI Global. https://doi.org/10.4018/978-1-7998-0261-7.ch001

Chicago

Iyawa, Gloria Ejehiohen, Collins Oduor Ondiek, and Jude Odiakaosa Osakwe. "mHealth: A Low-Cost Approach for Effective Disease Diagnosis, Prediction, Monitoring and Management – Effective Disease Diagnosis." In Smart Medical Data Sensing and IoT Systems Design in Healthcare, edited by Chinmay Chakraborty, 1-21. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-0261-7.ch001

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Abstract

Mobile health (mHealth), the application of mobile technologies for healthcare services, has been the driving force in healthcare in the last few decades; from healthcare service delivery to low-cost tools for effective disease diagnosis, prediction, monitoring, and management. The main purpose of this chapter was to identify the scope and range of studies on mHealth used as low-cost tools for effective disease diagnosis, prediction, monitoring, and management. The authors identified 55 papers that met the inclusion and exclusion criteria after searching different academic databases. The findings revealed that low-cost mHealth approaches such as text messaging and mobile applications developed using artificial intelligence algorithms have been used for disease diagnosis, prediction, monitoring, and management. The findings of this scoping review present information regarding different mHealth approaches that can be used by researchers and practitioners interested in the application of low-cost mHealth solutions in low-resource settings.

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