Harvard Developed AI Identifies the Shortest Path to Human Happiness

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Harvard Developed AI Identifies the Shortest Path to Human Happiness
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Deep Longevity, in collaboration with Harvard Medical School, presents a deep learning approach to mental health Deep Longevity has published a paper in Aging-US outlining a machine learning approach to human psychology in collaboration with Nancy Etcoff, Ph.D., Harvard Medical School, an authority

The researchers created a digital model of psychology aimed to improve mental health. The system offers superior personalization and identifies the shortest path toward a cluster of mental stability for any individual.

Deep Longevity has published a paper in Aging-US outlining a machine learning approach to human psychology in collaboration with Nancy Etcoff, Ph.D.,The authors created two digital models of human psychology based on data from the Midlife in the United States study.that predicts respondents’ chronological age and psychological well-being in 10 years using information from a psychological survey. This model depicts the trajectories of the human mind as it ages.

The second model is a self-organizing map that was created to serve as the foundation for a recommendation engine for mental health applications. This unsupervised learning algorithm splits all respondents into clusters depending on their likelihood of developing depression and determines the shortest path toward a cluster of mental stability for any individual.

FuturSelf is a free online mental health service that offers guidance based on a psychological profile assessment by AI. The core of FuturSelf is represented by a self-organizing map that classifies respondents and identifies the most suitable ways to improve one’s well-being. Credit: Fedor Galkin

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