Data Quality and the Internet of Medical Things (IoMT)

نویسندگان

چکیده

This paper summarises a programme of PhD research relevant to federated machine learning for IoMT-informed patient care. Sensing performance, data quality and stakeholder perceptions are key the clinical outcomes that can be achieved in future healthcare systems. However, IoMT challenges complex multi-faceted, could significantly impact decisions depend on accurate timely data. The outlines context challenges, progress candidate questions, discusses potential solutions, topics this area.

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OBJECTIVES A number of technologies can reduce overall costs for the prevention or management of chronic illnesses. These include devices that constantly monitor health indicators, devices that auto-administer therapies, or devices that track real-time health data when a patient self-administers a therapy. Because they have increased access to high-speed Internet and smartphones, many patients ...

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ژورنال

عنوان ژورنال: BCS Learning & Development

سال: 2022

ISSN: ['1477-9358']

DOI: https://doi.org/10.14236/ewic/hci2022.65