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

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 d...

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Bibliographic Details
Published inInternational journal of e-collaboration Vol. 17; no. 4; pp. 41 - 59
Main Authors Saravanaguru R. A. K, Deeba K
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.10.2021
Subjects
Algorithms
Ambient intelligence
Analysis
Collaboration
Context
Diabetes in pregnancy
Diabetes mellitus
Gestational diabetes
Internet of Things
Middleware
Pregnancy
Reasoning
Web applications
India
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Summary: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.
ISSN:1548-3673
1548-3681
DOI:10.4018/IJeC.2021100104