HIGHLIGHTS
- who: Massimo Cavallaro and collaborators from the School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom, The have published the research: Informing antimicrobial stewardship with explainable AI, in the Journal: (JOURNAL) of August/17,/2022
- what: The approach reports the level of certainty and uncertainty for each prediction. The authors present an analysis of a large population of hospital inpatients with Gramnegative bacteria isolated from blood and urine cultures.
- how: Throughout the analysis Wilson intervals are used as 2.5%-97.5% confidence intervals (CIs) for percentages. For fast . . .
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