Correlating Multimodal Signals with Asthma Control in Children Using kHealth Personalized Digital Health System

TitleCorrelating Multimodal Signals with Asthma Control in Children Using kHealth Personalized Digital Health System
Publication TypePresentation
Year of Publication2018
AuthorsAmit Sheth, Tanvi Banerjee, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Krishnaprasad Thirunarayan, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra
IssueAmerican Thoracic Society (ATS) International Conference
Date Published05/2018
Abstract

In order to manage a multifactorial disease like asthma, it is important to be able to measure and analyze the vast amount of multimodal data as each different factor affects a patient’s asthma symptoms differently. Technology can assist in identifying personalized risk factors for each patient, allowing us to compute the impact of factors such as environmental conditions on asthma control, as well as their vulnerability score. Future work seeks to evaluate whether this approach can support improved self management and adherence to clinical guidance.

Full Text

Amit Sheth, Tanvi Banerjee, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Krishnaprasad Thirunarayan, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra."Correlating Multimodal Signals with Asthma Control in Children Using kHealth Personalized Digital Health System". In procedings of the American Thoracic Society (ATS) International Conference(2018).

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