An Optimized Recursive General Regression Neural Network Oracle for the Prediction and Diagnosis of Diabetes

An Optimized Recursive General Regression Neural Network Oracle for the Prediction and Diagnosis of Diabetes

Dana Bani-Hani

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Pruthak Patel

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Tasneem Alshaikh

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Binghamton University

An Optimized Recursive General Regression Neural Network Oracle for the Prediction and Diagnosis of Diabetes

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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

Dana Bani-Hani. 2019. \u201cAn Optimized Recursive General Regression Neural Network Oracle for the Prediction and Diagnosis of Diabetes\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 19 (GJCST Volume 19 Issue D2).

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GJCST Volume 19 Issue D2

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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-D Classification I.2.6

Submission ReceivedDecember 11, 2018
Peer Review Double Blind
Handling Editor
Accepted January 2, 2019
Published January 15, 2019

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v1.2

Issue date

May 18, 2019

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Article Matrices

Total Score: 133

Country: United States

Subject: Global Journal of Computer Science and Technology - D: Neural & AI

Authors: Dana Bani-Hani, Pruthak Patel, Tasneem Alshaikh (PhD/Dr. count: 0)

View Count (all-time): 318

Total Views (Real + Logic): 5448

Total Downloads (simulated): 1431

Publish Date: 2019 05, Sat

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Total Views: 5448

Total Downloads: 1431

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