DooKey
[H]F Junkie
- Joined
- Apr 25, 2001
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C-diff infectons are a common hospital-acquired malady that 453,000 people contract every year after being admitted to the hospital. Out of the large number of people that contract the infection about 29,000 die. The key to defeating it is early detection and treatment. In order to better the chance of detection and treatment the pairing of a computer scientist and an infectious-disease specialist resulted in the development of an AI program that can track patients and predict an infection five days soon than the doctors could. Overall, I have to hand it to them and once again chalk this up as another great use of AI.
Using that information, the duo created a model to predict the likelihood that a patient would contract a C-diff infection at each hospital. According to their research, these models predicted the infection an average of five days sooner than doctors could.
If their system is widely implemented, those five days could be the difference between life or death for hospital patients in the United States and across the globe.
Using that information, the duo created a model to predict the likelihood that a patient would contract a C-diff infection at each hospital. According to their research, these models predicted the infection an average of five days sooner than doctors could.
If their system is widely implemented, those five days could be the difference between life or death for hospital patients in the United States and across the globe.