Monitoring and Intervention of Mental Health of the Elderly under Big Data Technology

Abstract

How to solve the mental health problems of the elderly? In smart cities, big data technology provides new opportunities for the monitoring and intervention of the elderly's mental health. This study aims to explore monitoring and intervention methods based on big data to improve the mental health of the elderly. This study used a variety of data collection methods, including elderly health record data, mobile device data, social media data, etc. Through data mining and machine learning technology, factors related to the mental health of the elderly are analyzed and modeled. At the same time, this article designs and implements personalized intervention strategies for the elderly, including online psychological consultation, social support network construction, etc. Research results show that by analyzing mobile device data and social media data, the social activities, emotional states and daily behavior patterns of the elderly can be identified, providing a basis for prediction and intervention of mental health problems.