Medical Xpress

New data suggest machine learning algorithms can accurately predict C. diff infection in hospitalized patients

New data published today suggest that several commonly used machine learning algorithms (MLAs) can effectively predict which hospitalized patients will become infected with Clostridiodes difficile (C.
Medical Xpress

Diagnostic stewardship approach to C. diff reduces unnecessary testing

A new study published today in the American Journal of Infection Control (AJIC) describes the outcome of a new approach to testing for Clostridioides difficile (C. diff), guided by the principles of ...
News Medical

Reducing inappropriate C. difficile testing with a diagnostic stewardship approach

A new study published today in the American Journal of Infection Control (AJIC) describes the outcome of a new approach to testing for Clostridioides difficile (C. diff) guided by the principles of ...
Becker's Hospital Review

Researchers use email spam filter-like algorithm to identify C. diff risk

A study published in mBio, the online open-access journal of the American Society for Microbiology, may help create a test to predict which hospital patients are at the highest risk of developing a ...
EurekAlert!

New data suggest machine learning algorithms can accurately predict C. diff infection in hospitalized patients

Findings published in the American Journal of Infection Control could help reduce clinical and economic impact of common and serious HAIs Arlington, Va., January 20, 2022 – New data published today ...