Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability

@article{Galkin2022OptimizingFW,
  title={Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability},
  author={Fedor Galkin and Kirill Kochetov and Michelle Keller and Alex Zhavoronkov and Nancy Etcoff},
  journal={Aging (Albany NY)},
  year={2022},
  volume={14},
  pages={4935 - 4958}
}
In this article, we present a deep learning model of human psychology that can predict one’s current age and future well-being. We used the model to demonstrate that one’s baseline well-being is not the determining factor of future well-being, as posited by hedonic treadmill theory. Further, we have created a 2D map of human psychotypes and identified the regions that are most vulnerable to depression. This map may be used to provide personalized recommendations for maximizing one’s future well… 
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