Analyzing Machine Learning Algorithms: KNN & K-Means for Elderly Heal

Language: English

Published by LAP LAMBERT Academic Publishing, 2024

620811604X / 9786208116040

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Exploring the realm of machine learning involves monitoring the health of elderly loved ones by tracking their motions to keep them healthy. Datasets created by recording the body movements of elderly people are input to machine learning models for prediction. In this study, the proposal is to compare two popular machine learning algorithms KNN and K-Means for parameters like accuracy and precision. The ageing population has become a significant concern worldwide, as it poses a significant challenge to healthcare systems. The deterioration of health in elderly individuals is multifactorial, and it is essential to develop predictive models to identify potential health risks and intervene early. This study aims to explore using KNN(K-Nearest Neighbours) and K Means algorithms to analyse the health data of elderly individuals. The study collected and analyzed data from a cohort of elderly individuals, including demographic, lifestyle, and clinical parameters. The KNN algorithm was used to predict the likelihood of developing chronic diseases, such as diabetes, hypertension, and cardiovascular diseases, based on the input features. …

Seller Inventory # 9786208116040

Title
Analyzing Machine Learning Algorithms: KNN & K-Means for Elderly Heal
Author
Vanshika Walia
Publisher
LAP LAMBERT Academic Publishing
Publication year
2024
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
620811604X
ISBN 13
9786208116040
Item weight
119 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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