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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Artificial Neural Network Technique for Diabetes Prediction based on Indian Diabetes Dataset |
| Authors Name: | Shumaila Shamim , Prof. Sudhir Goswami |
| Unique Id: | IJSDR2401031 |
| Published In: | Volume 9 Issue 1, January-2024 |
| Abstract: | Diabetes mellitus, commonly known as diabetes, is a group of metabolic disorders characterized by a high blood sugar level (hyperglycemia) over a prolonged period of time. To predict the disease, it is extremely important to understand its symptoms. To predict the disease, it is extremely important to understand its symptoms. This paper presents diabetes classification and prediction using machine learning approach. Proposed system is increased the accuracy of the results by prediction of diabetes by using artificial neural network (ANN) deep learning algorithms. It enhances the performance of the overall classification results. Currently, machine-learning (ML) algorithms are valuable for disease detection. |
| Keywords: | ANN, Machine Learning, Diabetes Classification, Disease |
| Cite Article: | "Artificial Neural Network Technique for Diabetes Prediction based on Indian Diabetes Dataset", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 1, page no.220 - 226, January-2024, Available :http://www.ijsdr.org/papers/IJSDR2401031.pdf |
| Downloads: | 000338719 |
| Publication Details: | Published Paper ID: IJSDR2401031 Registration ID:209781 Published In: Volume 9 Issue 1, January-2024 DOI (Digital Object Identifier): Page No: 220 - 226 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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