AIMC Topic: Clostridioides difficile

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Prevalence and predictors of C. difficile infections in hospitalized patients with major surgical procedures in the USA: Analysis using traditional and machine learning methods.

American journal of surgery Dec 1, 2018
Humans Machine Learning Aged Adult Male Retrospective Studies Female Clostridioides difficile Middle Aged Cross Infection Prevalence United States Clostridium Infections
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Estimating Local Costs Associated With Clostridium difficile Infection Using Machine Learning and Electronic Medical Records.

Infection control and hospital epidemiology Nov 6, 2017
BACKGROUND Reported per-patient costs of Clostridium difficile infection (CDI) vary by 2 orders of magnitude among different hospitals, implying that infection control officers need precise, local analyses to guide rational decision making between in...
Electronic Health Records Health Care Costs Female Aged, 80 and over Propensity Score Young Adult Clostridioides difficile Aged Humans Machine Learning Logistic Models Retrospective Studies Tertiary Care Centers Middle Aged Cross Infection Adult Length of Stay New York Clostridium Infections Male Adolescent
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Organism burden, toxin concentration, and lactoferrin concentration do not distinguish between clinically significant and nonsignificant diarrhea in patients with Clostridium difficile.

Diagnostic microbiology and infectious disease Nov 30, 2015
Clostridium difficile infection is often overdiagnosed in patients with mild diarrhea. We evaluated 4 biomarkers as surrogates for clinically significant diarrhea (≥ 3 episodes in 24 hours) in 59 PCR-positive patients with and 59 PCR-positive patient...
Middle Aged Bacterial Toxins Severity of Illness Index Clostridioides difficile Case-Control Studies Lactoferrin Humans Female Diarrhea Male Bacterial Load Feces Clostridium Infections
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A Deep Learning Approach to Antibiotic Discovery.

Cell Feb 20, 2020
Due to the rapid emergence of antibiotic-resistant bacteria, there is a growing need to discover new antibiotics. To address this challenge, we trained a deep neural network capable of predicting molecules with antibacterial activity. We performed pr...
Mice, Inbred C57BL Mycobacterium tuberculosis Acinetobacter baumannii Mice Mice, Inbred BALB C Machine Learning Small Molecule Libraries Animals Cheminformatics Anti-Bacterial Agents Drug Discovery Thiadiazoles Databases, Chemical Clostridioides difficile
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AI Tackles Hospital Infections: Machine Learning Is Helping Clinicians.

IEEE pulse Jan 1, 2018
For Ashley Zappia (Figure 1), getting her hands dirty was part of her job. Even though she always tried to remain as clean as possible, her work as a nursing aide at a Southern California hospital required a lot of diapering, changing, and other hand...
Clostridioides difficile Cross Infection Clostridium Infections Risk Factors Infection Control Immunocompromised Host Medical Informatics Gastrointestinal Microbiome Humans Machine Learning
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Procalcitonin in inflammatory bowel disease: Drawbacks and opportunities.

World journal of gastroenterology Dec 21, 2017
The measurement of procalcitonin has recently become a mainstay for the diagnosis and therapeutic management of severe bacterial infections, especially those sustained by Gram-negative bacteria. Therefore, the aim of this article is to provide a narr...
Gastrointestinal Tract Protein Precursors Humans Inflammatory Bowel Diseases Severity of Illness Index Clostridioides difficile Biomarkers Calcitonin Bacterial Infections
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