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