Research: Machine Learning May Cut Pandemic Hospitalizations 30%

ReachMD Healthcare Image

09/20/2024

New research shows machine learning can be more effective than current methods to distribute scarce treatments to patients most vulnerable during a public health crisis

A new study sheds light on a promising approach using machine learning to more effectively allocate medical treatments during a pandemic or any time there's a shortage of therapeutics.

The findings, published today in JAMA Health Forum, found a significant reduction in expected hospitalizations when using machine learning to help distribute medication using the COVID-19 pandemic to test the model. The model proves to reduce hospitalizations relatively by 27 percent compared to actual and observed care.

/Public Release. This material from the originating organization/author(s) might be of the point-in-time nature, and edited for clarity, style and length. Mirage.News does not take institutional positions or sides, and all views, positions, and conclusions expressed herein are solely those of the author(s).View in full

here

.

Register

We're glad to see you're enjoying Crohn's Colitis Professional…
but how about a more personalized experience?

Register for free