|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: April 2024
Volume 9 | Issue 4
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 95
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Diabetes Prediction by Classification Using Machine Learning and Deep Learning Techniques |
| Authors Name: | Siya Srivastava , Shruti Srivastava , Shubha Mishra |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_196908
|
| Published Paper Id: | IJNRD2305676 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | http://doi.one/10.1729/Journal.34404 |
| Abstract: | Diabetes is a serious metabolic illness that can negatively impact every system in the body. The risk factors for this condition are Age, obesity, lack of exercise, hereditary diabetes, living style, bad diet, high blood pressure, etc. Diabetic nephropathy, heart stroke, and other illnesses are all made more likely by undiagnosed diabetes. Millions of people around the world are afflicted by this illness. To live a healthy life, it is crucial to catch diabetes early. Due to the significant increase in diabetes cases, this disease is a cause for concern on a global scale. The standard procedure in hospitals is to obtain the data needed for a diabetic diagnosis by a variety of tests, and based on that diagnosis, the proper therapy is given. This large volume of data collected from the patient has some hidden useful information, which can be used to prognosis, diagnose and treat the disease. The revolutionary advancement in the field of Artificial Intelligence (AI) has opened the door to finding useful insights from the large dataset collected from various sources. All the sectors (healthcare, finance, Industrial sector, etc.) have heavily benefitted from it. Machine learning, which creates algorithms capable of learning patterns and decision-making rules from data, is one area where artificial intelligence has a greater impact. In order to extract knowledge from data, machine learning algorithms have been integrated into data mining pipelines, where they can be used in conjunction with conventional statistical techniques. The healthcare sector greatly benefits from Machine learning. Databases in the healthcare sector are very vast. By analysing large datasets using ML, one can learn from the data and make accurate predictions about the future by uncovering hidden patterns and information. The categorization and prediction accuracy of the current approach is not very good. In this study, we suggested a diabetes prediction model that combines a few extrinsic factors that cause diabetes in addition to more common parameters like glucose, body mass index (BMI), age, insulin, etc. Compared to the old dataset, the new dataset improves classification accuracy. Additionally, a pipeline model for diabetes prediction was imposed with the goal of enhancing classification accuracy. |
| Keywords: | Diabetes, Machine learning, Analytics, artificial intelligence. |
| Cite Article: | "Diabetes Prediction by Classification Using Machine Learning and Deep Learning Techniques", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g599-g601, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305676.pdf |
| Downloads: | 000118749 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2305676 Registration ID: 196908 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.34404 Page No: g599-g601 Country: Kanpur Nagar, Uttar Pradesh, India, Uttar Pradesh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305676 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305676 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn