Mathupanee Oonsivilai
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View article: Implications of reducing antibiotic treatment duration for antimicrobial resistance in hospital settings: A modelling study and meta-analysis
Implications of reducing antibiotic treatment duration for antimicrobial resistance in hospital settings: A modelling study and meta-analysis Open
Background Reducing antibiotic treatment duration is a key component of hospital antibiotic stewardship interventions. However, its effectiveness in reducing antimicrobial resistance is uncertain and a clear theoretical rationale for the a…
View article: Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia
Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia Open
Background : Early and appropriate empiric antibiotic treatment of patients suspected of having sepsis is associated with reduced mortality. The increasing prevalence of antimicrobial resistance reduces the efficacy of empiric therapy guid…
View article: Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children’s hospital in Cambodia
Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children’s hospital in Cambodia Open
Background Early and appropriate empiric antibiotic treatment of patients suspected of having sepsis is associated with reduced mortality. The increasing prevalence of antimicrobial resistance risks eroding the benefits of such empiric the…
Transmission Dynamics of Hyper-Endemic Multi-Drug Resistant Klebsiella pneumoniae in a Southeast Asian Neonatal Unit: A Longitudinal Study With Whole Genome Sequencing Open
Background:Klebsiella pneumoniae is an important and increasing cause of life-threatening disease in hospitalized neonates. Third generation cephalosporin resistance (3GC-R) is frequently a marker of multi-drug resistance, and can complica…
View article: Manuscript Dataset - Using Machine Learning To Guide Targeted And Locally-Tailored Empiric Antibiotic Prescribing In A Children'S Hospital In Cambodia
Manuscript Dataset - Using Machine Learning To Guide Targeted And Locally-Tailored Empiric Antibiotic Prescribing In A Children'S Hospital In Cambodia Open
This is a dataset associated with submission of the manuscript "Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia"
View article: Manuscript Dataset - Using Machine Learning To Guide Targeted And Locally-Tailored Empiric Antibiotic Prescribing In A Children'S Hospital In Cambodia
Manuscript Dataset - Using Machine Learning To Guide Targeted And Locally-Tailored Empiric Antibiotic Prescribing In A Children'S Hospital In Cambodia Open
This is a dataset associated with submission of the manuscript "Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia"
Transmission patterns of hyper-endemic multi-drug resistant <i>Klebsiella pneumoniae</i> in a Cambodian neonatal unit: a longitudinal study with whole genome sequencing Open
Background Klebsiella pneumoniae is an important and increasing cause of life-threatening disease in hospitalised neonates. Third generation cephalosporin resistance (3GC-R) is frequently a marker of multi-drug resistance, and can complica…