A MEDICATION ADHERENCE MONITORING SYSTEM WITH MACHINE LEARNING APPROACH USING BODY-WORN SENSORS AND ANDROID BASED APPLICATION.

April 2017
Vol-3, Issue-2
Paper ID: 4462
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Medication adherence Decision tree Flex Accelerometer Machine learning Feature Analysis Classifier Training.
Abstract
One of the most important challenges in chronic disease self-management is medication non-adherence, which has irrevocable outcomes. Although many technologies have been developed for medication adherence monitoring, the reliability and cost effectiveness of these approaches are not well understood till date. We develop machine learning algorithms that track wrist motions in real-time and identify medication intake activities. Patient adherence levels vary between 50% for depression to 63% for enlarged prostate. According to interviewers, on average adherence levels drop over the course of the patient journey from 69% of patients filling their first prescription to 43% continuing their treatment as prescribed after 6 months. We propose a novel data analysis pipeline to reliably detect medication adherence by examining single-wrist motions. Our system can achieve a good accuracy in adherence detection without need for medication pillboxes and with only one sensor worn on either of the wrists.
License
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Author Information

# Name Institute / Affiliation
1 Shubham Agarwal Pimpri Chinchwad College of Engineering,Akurdi,Pune
2 Aadesh Solanki Pimpri Chinchwad College of Engineering,Akurdi,Pune
3 Aishwarya Bartakke Pimpri Chinchwad College of Engineering,Akurdi,Pune
4 Jayesh Khemchandani Pimpri Chinchwad College of Engineering,Akurdi,Pune

How to Cite

Use the following formats to cite this article in your research.

APA Style
Agarwal, Shubham, Solanki, Aadesh, Bartakke, Aishwarya, & Khemchandani, Jayesh (2017). A MEDICATION ADHERENCE MONITORING SYSTEM WITH MACHINE LEARNING APPROACH USING BODY-WORN SENSORS AND ANDROID BASED APPLICATION.. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 2642-2649.
MLA Style
Agarwal, Shubham, et al. "A MEDICATION ADHERENCE MONITORING SYSTEM WITH MACHINE LEARNING APPROACH USING BODY-WORN SENSORS AND ANDROID BASED APPLICATION.." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 2642-2649.
IEEE Style
Shubham Agarwal, Aadesh Solanki, Aishwarya Bartakke, and Jayesh Khemchandani, "A MEDICATION ADHERENCE MONITORING SYSTEM WITH MACHINE LEARNING APPROACH USING BODY-WORN SENSORS AND ANDROID BASED APPLICATION.," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 2642-2649, 2017.
Vancouver Style
Agarwal Shubham, Solanki Aadesh, Bartakke Aishwarya, Khemchandani Jayesh. A MEDICATION ADHERENCE MONITORING SYSTEM WITH MACHINE LEARNING APPROACH USING BODY-WORN SENSORS AND ANDROID BASED APPLICATION.. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):2642-2649.
Harvard Style
Agarwal, Shubham, Solanki, Aadesh, Bartakke, Aishwarya, & Khemchandani, Jayesh (2017) 'A MEDICATION ADHERENCE MONITORING SYSTEM WITH MACHINE LEARNING APPROACH USING BODY-WORN SENSORS AND ANDROID BASED APPLICATION.', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 2642-2649.
Chicago Style
Agarwal, Shubham, et al. "A MEDICATION ADHERENCE MONITORING SYSTEM WITH MACHINE LEARNING APPROACH USING BODY-WORN SENSORS AND ANDROID BASED APPLICATION.." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 2642-2649.
Turabian Style
Agarwal, Shubham, et al. "A MEDICATION ADHERENCE MONITORING SYSTEM WITH MACHINE LEARNING APPROACH USING BODY-WORN SENSORS AND ANDROID BASED APPLICATION.." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 2642-2649.

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