ORCID iD
Document Type
Book Chapter
Abstract
Asthma is a personalized, and multi-trigger respiratory condition which requires continuous monitoring and management of symptoms and medication adherence. We developed kHealth: Knowledge-enabled Digital Healthcare Framework to monitor and manage the asthma symptoms, medication adherence, lung function, daily activity, sleep quality, indoor, and outdoor environmental triggers of pediatric asthma patients. The kHealth framework collects up to 1852 data points per patient per day. It is practically impossible for the clinicians, parents, and the patient to analyze this vast amount of multimodal data collected from the kHealth framework. In this chapter, we describe the personalized scores, clinically relevant asthma categorization using digital phenotype score, actionable insights, and potential intervention strategies for better pediatric asthma management.
Digital Object Identifier (DOI)
Publication Info
Published in Asthma, 2021.
© 2021 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
APA Citation
Jaimini, U., & Sheth, A. (2021). Personalized digital phenotype score, healthcare management and intervention strategies using Knowledge enabled Digital Health Framework for pediatric asthma. In Asthma. IntechOpen. https://doi.org/10.5772/intechopen.97430
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