Researchers have created a numerical model of psychology that aims to improve mental health. The system provides superior customization and outlines the shortest path toward a set of mental stability for any individual. Deep Longevity published a paper in Aging-US outlining a machine learning approach to human psychology in collaboration with Nancy Etcoff, Ph.D., Harvard Medical School, Authority on happiness and beauty. The authors created two numerical models of human psychology based on data from a US midlife study. The first model is a set of deep neural networks which predict respondents' chronological age and psychological well-being over 10 years using information from psychological surveys.

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., Harvard Medical School, an authority on happiness and beauty. The authors created two digital models of human psychology based on data from the Midlife in the United States study. The first model is an ensemble of deep neural networks that predicts respondents' chronological age and psychological well-being in 10 years using information from a psychological survey.

This automated learning technique divides all respondents into clusters based on their risk of developing depression and identifies the shortest path …