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

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Towhidul Islam
Towhidul Islam
α Southern University

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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
  1. Patlangley Kohavi,Yeogirl Yun The Utility of Feature Weighting in K-Nearest-Neighbor Algorithms -Ron.
  2. Thu Anh Nguyen (null). A QUANTITATIVE MULTI-CRITERIA CONSTRUCTION PROJECT EVALUATION SYSTEM AND APPLICATION IN CONTRACTOR SELECTION PROCESS.
  3. Supervised Nurul,Mustafa (2013). Computation Model for Identifying Types of Diabetics measurement system.
  4. Zulvayanti Zulvayanti,Windi Nurdiawan,Dini Hidayat,Hadi Susiarno,Dini Pusianawati,Fadhilah Zulfa (2019). Prevalence and characteristics of Teenage Pregnancy at Dr. Hasan Sadikin Hospital, Bandung, West Java.
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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. \u201cComputation Model for Identifying Types of Diabetics Using Multi-SelectionCriteria Evaluation and K-Nearest Neighbor\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 18 (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
Classification
GJCST-C Classification: I.5.m
Version of record

v1.2

Issue date

October 4, 2018

Language
en
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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.

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

Towhidul Islam
Towhidul Islam Southern University

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