Paper
16 June 2023 Construction of remote health intelligent nursing system for the elderly based on machine learning technology
Wen Yanwei, Wang Rui, Li Xueying, Luo Xinle
Author Affiliations +
Proceedings Volume 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023); 1270321 (2023) https://doi.org/10.1117/12.2682916
Event: Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 2023, Hong Kong, China
Abstract
The popularity of a variety of medical equipment provides the feasibility for integrating medical diagnosis resources and improving the home care of patients. In this paper, the construction of remote intelligent nursing system for the elderly based on machine learning technology is studied. Aiming at the problems of insufficient information mining and low prediction accuracy in multi-task time series, this paper combines the supervised and semi-supervised learning methods in machine learning to predict the physiological status of remote health monitoring objects. The input values are clustered by K-means algorithm, and the similar samples are divided into the same cluster. Each cluster is trained and tested by SVM (Support Vector Machine) algorithm to get the predicted output value. The research results show that the proposed algorithm is more accurate, and the predicted value is closer to the measured value, which shows the effectiveness of the proposed method.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wen Yanwei, Wang Rui, Li Xueying, and Luo Xinle "Construction of remote health intelligent nursing system for the elderly based on machine learning technology", Proc. SPIE 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 1270321 (16 June 2023); https://doi.org/10.1117/12.2682916
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KEYWORDS
Sensors

Intelligence systems

Machine learning

Infrared sensors

Blood pressure

Interpolation

Signal processing

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