KBot

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kBot
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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

Motivation

Asthma, chronic pulmonary disease, is one of the major health issues in the United States. Given its chronic nature, the demand for continuous monitoring of patient’s adherence to the medication care plan, assessment of their environment triggers, and management of asthma control level can be challenging in traditional clinical settings and taxing on clinical professionals. A shift from a reactive to a proactive asthma care can improve health outcomes and reduce expenses. On the technology spectrum, smart conversational systems and Internet-of-Things (IoTs) are rapidly gaining popularity in the healthcare industry. By leveraging such technological prevalence, it is feasible to design a system that is capable of monitoring asthmatic patients for a prolonged period and empowering them to manage their health better.

Evaluation

Architecture

Contextualization

Personalization

Video

Team Members

Dipesh Kadariya, Revathy Venkataramanan, and Kirill Kultinov

Related Publications

  1. 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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  • This research has been partially supported by:
  • Grant Number: 1 R01 HD087132-01
  • Principal Investigators: Amit P. Sheth (Kno.e.sis, Wright State University)
  • Project Title: KHealth: Semantic Multisensory Mobile Approach to Personalized Asthma Care