for data on more than half a million middle aged people from across the country. They then followed the study subjects’ health for at least six years. They looked at 60 baseline variables, including gender, age, smoking status, biometric data — like blood pressure and body mass index — the types of food they ate, the medications they took and any underlying diseases.
One issue: whenever we are dealing with large amounts of data from a single population, there are inherent biases. With this study in particular, the group was relatively privileged — they were more likely to be employed and more likely to own a home or car, for example — than the average UK population. Because of these inherent biases, “it is important to keep humans in the loop,” Dreyer said.
Weng hopes that in the future, the algorithm his group developed can be incorporated into electronic health records and continue to be studied. It could potentially alert doctors to patients who may be at high risk for certain conditions.
首先，敬畏神。其次，學習創造。
Oh good AI is predicting our deaths, wonder when it will start causing our deaths?
What about infintcide?
There it is the terminator found a way to kill baby’s in utero
Only because ai's sole purpose is to recognize patterns and use them to evolve.
ABC NEWS NETWORK ...
MingJingNew Fanya exchange opening ceremony hosted by the Yunnan government! Fraud citizens 43 billion yuan!