Difference between revisions of "KBot"
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==Motivation== | ==Motivation== | ||
| − | Asthma | + | Asthma is a lung inflammatory disease that has prevailed more than 26 million people in the United States, out of which 6.1 million are children [ref]. It is the most chronic condition among the pediatric population[ref] accounting for 13.8 million missed school days each year [ref]. Though incurable, asthma can be controlled and managed by strict adherence to a medication care plan and by avoiding the triggers [ref]. However, due to a lack of consistent adherence to the asthma care plan, and inadequate information about the patient’s environment, asthma management can be challenging [ref]. These issues are further compounded by its multifactorial nature, where every patient is sensitive to different triggers, and react differently even when exposed to the same trigger [ref]. This demands personalized care beyond the regular hospital setup to which the clinical professionals are limited. The advent of digital health monitoring technologies such as smart wearables and increasing adoption of mobile devices and low-cost sensors translate to an unprecedented amount of data being generated and collected on a continuous basis. It is now possible to monitor long-term medication adherence, exposure to environmental triggers, and asthma control level in real-time. |
==Evaluation== | ==Evaluation== | ||
Revision as of 23:06, 15 July 2019
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Knowledge enabled personalized chat-bot system for self-management of asthma in padiatric population (age 8-15).
working on this page.
Dipesh Kadariya
Contents
Motivation
Asthma is a lung inflammatory disease that has prevailed more than 26 million people in the United States, out of which 6.1 million are children [ref]. It is the most chronic condition among the pediatric population[ref] accounting for 13.8 million missed school days each year [ref]. Though incurable, asthma can be controlled and managed by strict adherence to a medication care plan and by avoiding the triggers [ref]. However, due to a lack of consistent adherence to the asthma care plan, and inadequate information about the patient’s environment, asthma management can be challenging [ref]. These issues are further compounded by its multifactorial nature, where every patient is sensitive to different triggers, and react differently even when exposed to the same trigger [ref]. This demands personalized care beyond the regular hospital setup to which the clinical professionals are limited. The advent of digital health monitoring technologies such as smart wearables and increasing adoption of mobile devices and low-cost sensors translate to an unprecedented amount of data being generated and collected on a continuous basis. It is now possible to monitor long-term medication adherence, exposure to environmental triggers, and asthma control level in real-time.
Evaluation
Architecture
Contextualization
Personalization
Video
Team Members
Dipesh Kadariya, Revathy Venkataramanan, and Kirill Kultinov
Related Publications
- Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Thirunarayan Krishnaprasad, Amit Sheth. "kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management". In Proceedings of the IEEE SMARTSYS Workshop on Smart Service Systems (SMARTCOMP 2019). IEEE, 2019.
Funding
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