This paper is published in Volume-5, Issue-3, 2019
Area
Machine Learning and Internet of Things
Author
Savitha S.
Co-authors
Sarjana O. S., M. S. Praveen Kumar, Dr. S Radha
Org/Univ
SSN College of Engineering, Chennai, Tamil Nadu, India
Pub. Date
16 May, 2019
Paper ID
V5I3-1368
Publisher
Keywords
Wearable, Machine learning, Decision trees, Internet of Things, Cloud storage

Citationsacebook

IEEE
Savitha S., Sarjana O. S., M. S. Praveen Kumar, Dr. S Radha. Wearable asthma prediction device, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Savitha S., Sarjana O. S., M. S. Praveen Kumar, Dr. S Radha (2019). Wearable asthma prediction device. International Journal of Advance Research, Ideas and Innovations in Technology, 5(3) www.IJARIIT.com.

MLA
Savitha S., Sarjana O. S., M. S. Praveen Kumar, Dr. S Radha. "Wearable asthma prediction device." International Journal of Advance Research, Ideas and Innovations in Technology 5.3 (2019). www.IJARIIT.com.

Abstract

The paper presents the design for a wearable device to predict asthma attacks for all age groups. The design is developed based on environmental conditions and patient attack history. The wearable device uses temperature/humidity, dust sensors that monitor the surrounding atmospheric conditions and incorporates a machine learning algorithm (decision trees) for prediction of an attack in advance. Concepts of the Internet of Things are used for cloud storage and wireless connectivity with a handheld device, such as a smartphone.
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