Hash polynomial two factor decision tree using IoT for smart health care scheduling

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Smart health care,Internet of Things,Cloud environment,Hash polynomial,Two-factor,Decision tree

论文评审过程：Received 18 June 2019, Revised 21 August 2019, Accepted 3 September 2019, Available online 4 September 2019, Version of Record 12 September 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112924