Machine learning could reduce testing, improve treatment for intensive care patients

Doctors in intensive care units face a continual dilemma: Every blood test they order could yield critical information, but also adds costs and risks for patients. To address this challenge, researchers are developing a computational approach to help clinicians more effectively monitor patients’ conditions and make decisions about the best opportunities to order lab tests for specific patients.

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