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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) |
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| Paper Title: | Adaption of Best Methodology by Comparing Different Algorithm to Detect Parkinson Disease |
| Authors Name: | Vaibhav Kesarwani , Neha Chauhan , Rishabh Kumar Chauhan , Sanjeev Ranjan , Saurabh Kumar Singh |
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IJNRD_196969
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| Published Paper Id: | IJNRD2305712 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Detecting Parkinson's disease (PD) at an early stage with precision holds great importance in enhancing its management and overall prognosis. The objective of this research was to determine the most effective methodology for predicting PD. To accomplish this, an extensive analysis was conducted, exploring diverse prediction techniques, including machine learning algorithms such as Support Vector Machines, Random Forests, and Neural Networks. The performance of these methods was assessed using key metrics like accuracy, sensitivity, and specificity. The outcomes revealed that combining Random Forest and Neural Networks proved to be the optimal approach for PD prediction, demonstrating remarkable accuracy and robust performance. This underscores the criticality of selecting an appropriate prediction method for PD and underscores the advantages of employing a combination of algorithms to achieve enhanced prediction outcomes. |
| Keywords: | Support Vector Machine (SVM), Random Forest, XGBoost, Decision Tree, Parkinson Disease |
| Cite Article: | "Adaption of Best Methodology by Comparing Different Algorithm to Detect Parkinson Disease", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.h87-h92, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305712.pdf |
| Downloads: | 000118752 |
| 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 |
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Published Paper ID:IJNRD2305712 Registration ID: 196969 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: h87-h92 Country: Lucknow, Uttar Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305712 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305712 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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