Scientists from the Technical University of Denmark have developed an algorithm that can predict human life expectancy with 78% accuracy. Research results published In Nature Computational Science.
Scientists used data from more than six million Danes to develop a new artificial intelligence algorithm. Some of the data was taken from various archives and medical records. The researchers also collected information about the health status, date of birth, place of residence, marital status and profession of the volunteers who agreed to participate in the study.
The obtained facts were then fed into a machine algorithm that analyzed this information, looked for relationships, and tried to predict further developments based on previous experience. The neural network was able to predict people’s financial income and health throughout their lives. Additionally, the algorithm was able to predict with 78% accuracy the likelihood of a person dying at a given time. This was also shown by subsequent observations of people who participated in the study.
Scientists believe this technique can be used to reduce people’s risk of dying prematurely and develop individual strategies to improve health.
Previously in Russia was created Application for remote determination of blood group.