Human beings are naturally curious about their future. They hope to know what their mental health will be like in 10 or even 20 years, so that they can guide their current lives and make certain adjustments accordingly.
Recently, scientists from Harvard Medical School and a Hong Kong startup called Deep Longevity jointly developed an online mental health tool. This tool is called "FuturSelf" and can rely on AI models to calculate future happiness index. The relevant research paper is titled "Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability" and has been published in Aging-US.
Researchers constructed two digital models of human psychology based on data provided by the American Midlife Research Center.
The first one is a set of deep learning neural network , which uses the information support of the database to predict the actual age and mental health status of the respondent within 10 years. The model found that as age increases, people's emphasis on self-improvement continues to decline, and the sense of pursuit of life goals will not disappear until after the age of 50. The result of the second model of
is a mental health application software that can provide health advice to patients suspected of being at risk of depression based on the user's test results and AI-based background calculations, and provide them with ways to improve their future happiness.
Researchers say the study provides an interesting perspective on mental age , future well-being and depression risk, and demonstrates new applications of machine learning methods on mental health issues. This also broadens how humans view aging and transitions through life stages and emotional states.
Forward-looking Economist APP Information Group
Original paper:
https://www.aging-us.com/article/204061/text
