Machine learning programs predict risk of death based on results from routine hospital tests
U of A researchers have developed a machine learning program that predicts patients’ risk of death within one month, one year and five years based on the results of routine hospital electrocardiograms and blood tests. This information may help clinicians improve care — and make the health-care system smarter over time.
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