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Addressing Data Accuracy and Information Integrity in mHealth Solutions Using Machine Learning Algorithms

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Delivering Superior Health and Wellness Management with IoT and Analytics

Part of the book series: Healthcare Delivery in the Information Age ((Healthcare Delivery Inform. Age))

Abstract

Today, much of the healthcare delivery is done digitally. In particular, there exists a plethora of mHealth solutions being developed. This in turn necessitates the need for accurate data and information integrity if superior mHealth is to ensue. Lack of data accuracy and information integrity can cause serious harm to patients and limit the benefits of mHealth technology. The described exploratory case study serves to investigate data accuracy and information integrity in mHealth, with the aim of incorporating Machine Learning to detect sources of inaccurate data and deliver quality information. The outcome of the study was a successful testing of a Machine Learning algorithm (Decision Tree) for mHealth data that consisted of secondary diabetes data. The algorithm was able to classify the data as accurate or inaccurate.

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Author information

Authors and Affiliations

  1. Deakin University, Kew East, VIC, Australia

    Zaid Sako

  2. School of Information Technology, Deakin University, East Kew, VIC, Australia

    Sasan Adibi

  3. Epworth HealthCare, Richmond, VIC, Australia

    Nilmini Wickramasinghe

  4. Swinburne University of Technology, Hawthorn, VIC, Australia

    Nilmini Wickramasinghe

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  1. Zaid Sako
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  2. Sasan Adibi
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  3. Nilmini Wickramasinghe
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Editor information

Editors and Affiliations

  1. Epworth HealthCare, Richmond, VIC, Australia, Swinburne University of Technology, Hawthorn, VIC, Australia

    Nilmini Wickramasinghe

  2. Friedrich-Alexander-University, Erlangen-Nuremberg, Erlangen, Germany

    Freimut Bodendorf

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Sako, Z., Adibi, S., Wickramasinghe, N. (2020). Addressing Data Accuracy and Information Integrity in mHealth Solutions Using Machine Learning Algorithms. In: Wickramasinghe, N., Bodendorf, F. (eds) Delivering Superior Health and Wellness Management with IoT and Analytics. Healthcare Delivery in the Information Age. Springer, Cham. https://doi.org/10.1007/978-3-030-17347-0_16

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  • DOI: https://doi.org/10.1007/978-3-030-17347-0_16

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