AI predicts the future: trained with data from 6 million people, it can predict health, income and death

Scientists recently successfully developed a “fortune-telling” AI model by analyzing the life data of millions of people. This model can accurately predict people's health status, income level and death. Its prediction accuracy is very high

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Matthew Salganik, a sociologist at Princeton University, believes that if this method can be shown to work across different social classes, it will provide social scientists with a new tool. , used to analyze the impact on personal destiny under the complex interaction of personal personality and events

This "fortune-telling" AI called life2vec screens multiple databases in Denmark, including employment, health and other data of 6 million people, and combines factors such as income, social benefits, job position and medical history, and then Transformed into life experiences through synthetic language

An example: "Agnes worked as a midwife in a hospital in Copenhagen in August 2010 and earned 30,000 DKK."

The team trained the life2vec model using data from 2008 to 2016 and compared it with data from the Danish National Statistics Office. By taking "whether people will die before 2020" as the entry point, they found that the accuracy of the prediction results reached 78%

The life2vec model successfully identified several factors that increase the risk of premature death, including low income, mental health diagnoses, etc.; occasional inaccuracies often stem from unpredictable events such as accidents or heart attacks

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