Submitted via IRC for SoyCow1984
[...] The study, of 4.6 million patients from 1985 to 2015, was conducted using linked electronic health records from the UK's Clinical Practice Research Datalink. A wide range of factors was taken into account, including age, sex, ethnicity, socioeconomic status, family history, lifestyle factors, comorbidities, medication and marital status, as well as the time since first diagnosis, last use of the health system and latest laboratory tests.
Using more variables combined with information about their timing, machine learning models were found to provide a more robust prediction of the risk of emergency hospital admission than any models used previously.
'Our findings show that with large datasets which contain rich information about individuals, machine learning models outperform one of the best conventional statistical models,' Rahimian said. 'We think this is because machine learning models automatically capture and 'learn' from interactions between the data that we were not previously aware of.'
(Score: 0) by Anonymous Coward on Saturday November 24 2018, @08:32AM
dieascend to heaven - and order the first strike. Not today, since religious beliefs of Trump are more practical than idealistic. Trump won't pray instead of signing a deal - and he has plenty of children who will inherit his fistful of hard-earned dollars; he is not the type to kill us all. But who will come after him?