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. Manikandan | 1 | 21 | 8.15 |
Rizwan Patan | 2 | 31 | 7.37 |
Amir Hossein Gandomi | 3 | 1836 | 110.25 |
Perumal Sivanesan | 4 | 3 | 0.42 |
Hariharan Kalyanaraman | 5 | 3 | 0.42 |