UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2209122


Registration ID:
502283

Page Number

b170-b182

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Title

Early Detection of Parkinson’s Disease based on Ensemble Models

Abstract

In Parkinson’s Disease (PD), a neurological condition that worsens over time, new symptoms gradually start to show up. The substantia nigra of the brain gradually loses neurons as a result of this. Gait impairment, voice impairment, writing changes, etc. are some of the signs that are used to identify Parkinson’s disease (PD) more correctly. In this work, Multiple Fold Data (MFD) is ensembled with Gradient Boost Classifier, a machine learning classifier, to provide superior output. With 98.2% accuracy, this combination had the highest accuracy rate. An accurate Dataset from the UCI Machine Learning Repository was used to evaluate the approaches’ efficacy.

Key Words

Multiple Fold Data, Gradient Boost Classifier, XG Boost Classifier, Random Forest, precision, Parkinson’s disease.

Cite This Article

"Early Detection of Parkinson’s Disease based on Ensemble Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.b170-b182, September-2022, Available :http://www.jetir.org/papers/JETIR2209122.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Early Detection of Parkinson’s Disease based on Ensemble Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppb170-b182, September-2022, Available at : http://www.jetir.org/papers/JETIR2209122.pdf

Publication Details

Published Paper ID: JETIR2209122
Registration ID: 502283
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: b170-b182
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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