Computation Model for Identifying Types of Diabetics Using Multi-SelectionCriteria Evaluation and K-Nearest Neighbor

Towhidul Islam

Computation Model for Identifying Types of Diabetics Using Multi-SelectionCriteria Evaluation and K-Nearest Neighbor

Towhidul Islam * § M.Sc. in Computer Science &Engineering

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Southern university Bangladesh

Computation Model for Identifying Types of Diabetics Using Multi-SelectionCriteria Evaluation and K-Nearest Neighbor

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Abstract

The main purpose of this topic is to develop a dynamic model of a Diabetes solution system. Diabetes mellitus is a chronic disease caused by inherited and/or acquired deficiency in production of insulin by the pancreas or by the ineffectiveness of the insulin produced such a deficiency results in increased concentrations of glucose in the blood. Which in turn damage many of the body systems in particular the blood vessels and nerves. Diabetes mellitus, often simply referred to as diabetes, is a group of metabolic diseases in which a person has high blood sugar, either because the body does not produce enough insulin, or because cells do not respond to the insulin that is produced. This high blood sugar produces the classical symptoms of polyuria (frequent urination), polydipsia (increased thirst) and polyphonic (increased hunger).diabetes is data mining based notification systems. This system developed is main purposed the people easily treatment for accommodation.

References

8 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Towhidul Islam. 2018. "Computation Model for Identifying Types of Diabetics Using Multi-SelectionCriteria Evaluation and K-Nearest Neighbor". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 18 (GJCST Volume 18 Issue C4).

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GJCST Volume 18 Issue C4

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-C Classification I.5.m

Submission ReceivedDecember 14, 2017
Peer Review Double Blind
Handling Editor
Accepted December 31, 2017
Published January 15, 2018

Version of record

v1.2

Issue date

October 4, 2018

Language

English

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Article Matrices

Total Score: 141

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology

Authors: Towhidul Islam (PhD/Dr. count: 0)

View Count (all-time): 383

Total Views (Real + Logic): 2533

Total Downloads (simulated): 185

Publish Date: 2018 01, Mon

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Total Views: 2.5K

Total Downloads: 185

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