A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with non–small cell lung cancer are most at risk of needing urgent care during treatment. The study was led by researchers and clinicians at Moffitt Cancer Center.
This article was originally published on MedicalXpress.com
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