UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 10 Issue 11
November-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2311281


Registration ID:
527898

Page Number

c587-c592

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Title

Early Identification, Monitoring And Treatment Of Dementia In The Aged People Using Machine Learning Predictive Modelling

Abstract

Machine Learning has gained considerable attention in recent times across a diapason of exploration disciplines. This growing interest can be attributed to technological advancements and the operation of Machine literacy styles for soothsaying issues grounded on literal data. specially, the field of medical exploration has also embraced Machine literacy in colorful aspects, with a specific emphasis on early discovery of significant conditions similar as madness to enable timely intervention. Just as glucose situations are a individual parameter for diabetes, experimenters have linked specific pointers within the OASIS dataset for diagnosing madness. This study primarily focuses on the task of prognosticating madness, which falls under the order of bracket problems. The primary end of this exploration is to determine the most suitable bracket algorithm for the OASIS dataset. likewise, the study involves fine- tuning the algorithm's hyperactive parameters to optimize its performance in prognosticating the presence of madness in the input data. The findings of the analysis compare different models and eventually recommend the stylish model for madness vaticination. The perpetration results indicate that the Random Forest Classifier emerges as the most effective bracket model for this dataset, achieving a delicacy rate of roughly 73.

Key Words

Bracket, dataset, supervised learning order, Random Forest algorithm, delicacy

Cite This Article

"Early Identification, Monitoring And Treatment Of Dementia In The Aged People Using Machine Learning Predictive Modelling ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.c587-c592, November-2023, Available :http://www.jetir.org/papers/JETIR2311281.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 Identification, Monitoring And Treatment Of Dementia In The Aged People Using Machine Learning Predictive Modelling ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppc587-c592, November-2023, Available at : http://www.jetir.org/papers/JETIR2311281.pdf

Publication Details

Published Paper ID: JETIR2311281
Registration ID: 527898
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: c587-c592
Country: Pune, Maharashtra, India, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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