A Review for Predicting the Diabetes Mellitus Using Different Techniques and Methods

Saini, Preeti; Ahuja, Rakesh

doi:10.1007/978-981-16-5120-5_32

Cited by 8 publications

(2 citation statements)

References 24 publications

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“…It is a distributed computing architecture that provides services to end-clients at the network edge, thereby reducing latency and network congestion [2] [3]. It is especially beneficial in the circumstances with a high number of linked devices providing data to IoT applications such as smart cities, healthcare, and industries [4][5] [6]. These devices can gather and analyze data locally via fog computing, enabling real-time decisionmaking [7] [8].…”

Section: Introductionmentioning

confidence: 99%

A hybrid approach for fault-tolerance aware load balancing in fog computing

Kashyap,

Ahuja,

Kumar

2024

Cluster Comput

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Fog computing has grown in popularity in recent years because to its potential to deliver real-time processing, low latency, and reduce network congestion. However, the implementation of Internet of Things (IoT) enabled smart devices in environments using fog computing may lead to resource limitations and higher computational demands. Load balancing and fault tolerance strategies are necessary to tackle these difficulties for optimal resource usage and system availability. In order to accomplish fault tolerance aware load balancing in fog computing, a hybrid meta-heuristic approach in this study that combines the Modified Harris-Hawks Optimization (MHHO) and Ant Colony Optimization (ACO) is proposed. The MHHO algorithm is utilized for load balancing, whereas the ACO algorithm is used for fault tolerance. By employing the proposed technique, the load on fog nodes is balanced, the makespan time is minimized, energy consumption and execution costs are minimized, and fault tolerance in fog computing environments is ensured. It is evaluated using a simulation framework built on the iFogSim toolkit. In terms of load balancing, fault tolerance, and other factors, the results of the experiments show that the suggested hybrid algorithm performs better than earlier state-of-the-art methods.

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Section: Introductionmentioning

confidence: 99%

A hybrid approach for fault-tolerance aware load balancing in fog computing

Kashyap,

Ahuja,

Kumar

2024

Cluster Comput

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“…Diabetes has been a syndrome by hyperglycemia from chronic impaired metabolism of carbohydrate, protein and fat. International Diabetes Federation (IDF) has continued worldwide management for long utilizing artificial neural network (ANN) [1]. American Diabetes Association (ADA) has announced the standard diabetic guideline on Jan 1, 2022 [2].…”

mentioning

confidence: 99%

Useful Oral Administration of Glucagon-Like Peptide 1 Receptor Agonist (GLP-1RA) as Semaglutide (Rybelsus) for Type 2 Diabetes Mellitus (T2DM)

Bando

2022

Asp Biomed Clin Case Rep

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As recommended pharmacological agents for type 2 diabetes mellitus (T2DM), Glucagon-Like Peptide 1 receptor agonist (GLP-1Ra) is highly evaluated for its various beneficial effects. Among them, semaglutide (Rybelsus) has been in focus for useful oral formation with useful oral hypoglycemic agent (OHA). Administration per os is possible due to the developed technique of absorption enhancer sodium N-(8-[2-hydroxybenzoyl] amino) caprylate. Clinical efficacy was shown by a series of Peptide Innovation for Early Diabetes Treatment (PIONEER) with enough weight reduction and decreased HbA1c. From the results of several PIONEER programs, oral semaglutide 14 mg/day had reduced HbA1c values by approximately 1.0-1.4%.

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A Domain Oriented Framework for Prediction of Diabetes Disease and Classification of Diet Using Machine Learning Techniques

Bhat

Ansari

2023

Advanced Technologies and Societal Change

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A Review for Predicting the Diabetes Mellitus Using Different Techniques and Methods

Cited by 8 publications

References 24 publications

A hybrid approach for fault-tolerance aware load balancing in fog computing

A hybrid approach for fault-tolerance aware load balancing in fog computing

Useful Oral Administration of Glucagon-Like Peptide 1 Receptor Agonist (GLP-1RA) as Semaglutide (Rybelsus) for Type 2 Diabetes Mellitus (T2DM)

A Domain Oriented Framework for Prediction of Diabetes Disease and Classification of Diet Using Machine Learning Techniques

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