Title
Hash polynomial two factor decision tree using IoT for smart health care scheduling.
Abstract
•Towards improvement of the smart health care facility, introduced the smart scheduling.•Proposed a Hash Polynomial Two-factor Decision Tree technique.•It achieves by classifying patients as being normal or critical state in minimal time.•To increases the scheduling efficiency and reduce the response time.•Data collection is performed by using the Polynomial Data Collection (PDC) algorithms.
Year
DOI
Venue
2020
10.1016/j.eswa.2019.112924
Expert Systems with Applications
Keywords
Field
DocType
Smart health care,Internet of Things,Cloud environment,Hash polynomial,Two-factor,Decision tree
Overhead (computing),Key generation,Data mining,Decision tree,Data collection,Scheduling (computing),Computer science,Response time,Hash function,Distributed computing,Cloud computing
Journal
Volume
ISSN
Citations 
141
0957-4174
3
PageRank 
References 
Authors
0.42
0
5
Name
Order
Citations
PageRank
R. Manikandan1218.15
Rizwan Patan2317.37
Amir Hossein Gandomi31836110.25
Perumal Sivanesan430.42
Hariharan Kalyanaraman530.42