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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9786208116040
Quantità: Più di 20 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9786208116040_new
Quantità: Più di 20 disponibili
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26403379033
Quantità: 4 disponibili
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch. Codice articolo 9786208116040
Quantità: 2 disponibili
Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 410823814
Quantità: 4 disponibili
Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18403379027
Quantità: 4 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Codice articolo 9786208116040
Quantità: 1 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. 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. Codice articolo 9786208116040
Quantità: 1 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Analyzing Machine Learning Algorithms: KNN & K-Means for Elderly Heal | Vanshika Walia (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208116040 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 130161993
Quantità: 5 disponibili