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AI can beat doctors in predicting heart attack

IANS  |  London 

can predict death and in patients from chest with greater accuracy than humans, says a new study.

Doctors use risk scores to make treatment decisions, but these scores are based on just a handful of variables and often have modest accuracy in individual patients.

Through repetition and adjustment, machine learning, the bedrock of AI, could exploit large amounts of data and identify complex patterns that might not be evident to humans, said the study presented at the International Conference on Nuclear Cardiology and CT (ICNC) 2019 in

"Doctors already collect a lot of information about patients, for example those with chest We found that can integrate these data and accurately predict individual risk. This should allow us to personalise treatment and ultimately lead to better outcomes for patients," said of the in Finland.

The study enrolled 950 patients with chest During an average six-year follow-up there were 24 and 49 deaths from any cause.

A algorithm called LogitBoost repeatedly analysed 85 variables in the 950 patients with known six-year outcomes.

With these analysis, the algorithm "learned" how data interacts and then identified patterns correlating the variables to death and with more than 90 per cent accuracy.

"The algorithm progressively learns from the data and after numerous rounds of analyses, it figures out the high dimensional patterns that should be used to efficiently identify patients who have the event. The result is a score of individual risk," Juarez-Orozco said.

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(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

First Published: Mon, May 13 2019. 16:56 IST
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