Paper Info
Title
Application of a Mobile Chronic Disease Health-Care System for Hypertension Based on Big Data Platforms.
Abstract
Hadoop is a globally famous framework for big data processing. Data mining (DM) is the key technique for the discovery of the useful information from massive datasets. In our work, we take advantage of both platforms to design a real-time and intelligent mobile health-care system for chronic disease detection based on IoT device data, government-provided public data and user input data. The purpose of our work is the provision of a practical assistant system for self-based patient health care, as well as the design of a complementary system for patient disease diagnosis. This system was only applied to hypertensive disease during the first research stage. Nevertheless, a detailed design, an implementation, a clear overview of the whole system, and a significant guide for further work are provided; the entire step-by-step procedure is depicted. The experiment results show a relatively high accuracy.
Year
DOI
Venue
2018
10.1155/2018/3265281
JOURNAL OF SENSORS
Field
DocType
Volume
Big data processing,Health care,Data science,Computer vision,Disease,Internet of Things,Artificial intelligence,Engineering,Chronic disease,Big data
Journal
2018
ISSN
Citations 
PageRank 
1687-725X
0
0.34
References 
Authors
10
7
Name
Order
Citations
PageRank
Dingkun Li113.07
Hyun Woo Park2125.15
Erdenebileg Batbaatar301.35
Lkhagvadorj Munkhdalai412.03
Ibrahim Musa Ishag Musa501.01
Meijing Li6507.60
Keun Ho Ryu788385.61