AI in Healthcare April 13, 2021
Researchers have used machine learning to predict wellbeing—not only objective physical condition but also subjective overall health—as a function of demographic, socioeconomic and geographic factors.
In the process the team found that socioeconomic variables, especially job dissatisfaction and financial stress, have particular predictive power and can help explain gaps between physical and overall healthiness at the individual level.
Such insights can inform interventions and other care decisions aimed at warding off poor outcomes, the researchers suggest.
The subpopulation on which the team trained and tested their machine learning models comprised U.S. military veterans. The data source was Gallup’s U.S. daily tracking...
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