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Using Machine-Learned Bayesian Belief Networks to Predict Perioperative Risk of Clostridium Difficile Infection Following Colon Surgery
BACKGROUND: Clostridium difficile (C-Diff) infection following colorectal resection is an increasing source of morbidity and mortality. OBJECTIVE: We sought to determine if machine-learned Bayesian belief networks (ml-BBNs) could preoperatively provide clinicians with postoperative estimates of C-Di...
Autores principales: | Steele, Scott, Bilchik, Anton, Eberhardt, John, Kalina, Philip, Nissan, Aviram, Johnson, Eric, Avital, Itzhak, Stojadinovic, Alexander |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc.
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3626137/ https://www.ncbi.nlm.nih.gov/pubmed/23611947 http://dx.doi.org/10.2196/ijmr.2131 |
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