Welcome to the InfoSci Platform
Reference Hub1
Context Reasoning for Predicting Gestational Diabetes Mellitus Using CA-RETE Algorithm

Context Reasoning for Predicting Gestational Diabetes Mellitus Using CA-RETE Algorithm

Deeba K., Saravanaguru R. A. K.
Copyright: © 2021 |Volume: 17 |Issue: 4 |Pages: 19
ISSN: 1548-3673|EISSN: 1548-3681|EISBN13: 9781799858959|DOI: 10.4018/IJeC.2021100104
Cite Article Cite Article

MLA

Deeba K., and Saravanaguru R. A. K. "Context Reasoning for Predicting Gestational Diabetes Mellitus Using CA-RETE Algorithm." IJEC vol.17, no.4 2021: pp.41-59. http://doi.org/10.4018/IJeC.2021100104

APA

Deeba K. & Saravanaguru R. A. K. (2021). Context Reasoning for Predicting Gestational Diabetes Mellitus Using CA-RETE Algorithm. International Journal of e-Collaboration (IJeC), 17(4), 41-59. http://doi.org/10.4018/IJeC.2021100104

Chicago

Deeba K., and Saravanaguru R. A. K. "Context Reasoning for Predicting Gestational Diabetes Mellitus Using CA-RETE Algorithm," International Journal of e-Collaboration (IJeC) 17, no.4: 41-59. http://doi.org/10.4018/IJeC.2021100104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Today, IoT-related applications play an important role in scientific world development. Context reasoning emphasizes the perception of various contexts by means of collection of IoT data which includes context-aware decision making. Context-aware computing is used to improve the abilities of smart devices and is increased by smart applications. In this paper, context-aware for the internet of things middleware (CAIM) architecture is used for developing a rule-based system using CA-RETE algorithm. The objective of context-aware systems are concentrated on 1) context reasoning methodologies and analyzing how the technologies will involve enhancing the high-level context data, 2) framework of context reasoning system, 3) implementation of CA-RETE algorithm for predicting gestational diabetes mellitus in healthcare applications.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.