Machine learning could reduce testing, improve treatment for intensive care patients
Wednesday, January 16, 2019 - 08:00
in Health & Medicine
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 from Princeton University 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.