Infection Control

Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality.

Advanced regression and machine learning models can provide personalized risk predictions to support...

Overproduction of efflux pumps caused reduced susceptibility to carbapenem under consecutive imipenem-selected stress in .

PURPOSE: is an important pathogen in the nosocomial infections worldwide. Combining with carbapenem...

Mortality prediction in intensive care units (ICUs) using a deep rule-based fuzzy classifier.

Electronic health records (EHRs) contain critical information useful for clinical studies. Early ass...

Assessing the impact of PM on respiratory disease using artificial neural networks.

Understanding the impact on human health during peak episodes in air pollution is invaluable for pol...

In vitro activity of eravacycline against 2213 Gram-negative and 2424 Gram-positive bacterial pathogens isolated in Canadian hospital laboratories: CANWARD surveillance study 2014-2015.

Gram-negative (n=2213) and Gram-positive (n=2424) pathogens isolated from patients in 13 Canadian ho...

B-Type Natriuretic Peptide: A Predictor for Mortality, Intensive Care Unit Length of Stay, and Hospital Length of Stay in Patients With Resolving Sepsis.

BACKGROUND: B-type natriuretic peptide (BNP) is a hormone secreted by cardiomyocytes in response to ...

Design and validation of an automated solid phase extraction liquid chromatography coupled mass spectrometry method for the quantification of propofol in plasma.

Propofol concentration in human plasma can be quantified by liquid chromatography coupled mass spect...

In-hospital mortality risk score for very old patients hospitalized with decompensated chronic heart failure.

OBJECTIVE: To derive a risk score to predict in-hospital mortality for very old patients with decomp...

Isolation of in HUVEC line.

formerly named and ' Rickettsia amblyommii' is an intracellular bacterium belonging to the spotted...

Can a standardised Ventilation Mechanical Test for quantitative intraoperative air leak grading reduce the length of hospital stay after video-assisted thoracoscopic surgery lobectomy?

We standardised a Ventilation Mechanical Test (VMT) after video-assisted thoracoscopic surgery (VATS...

Classification of hospital admissions into emergency and elective care: a machine learning approach.

Rising admissions from emergency departments (EDs) to hospitals are a primary concern for many healt...

Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial.

INTRODUCTION: Several methods have been developed to electronically monitor patients for severe seps...

Occurrence and characteristics of extended-spectrum β-lactamase- and carbapenemase- producing bacteria from hospital effluents in Singapore.

One of the most important resistance mechanisms in Gram-negative bacteria today is the production of...

Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach.

BACKGROUND: Studies had shown that mortality due to ST-elevation myocardial infarction (STEMI) is hi...

Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few...

If your hospital has RATS, do not exterminate.

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach.

OBJECTIVES: Unplanned readmissions to the intensive care unit (ICU) are highly undesirable, increasi...

The Effect of an In-Hospital Comprehensive Geriatric Assessment on Short-Term Mortality During Orthogeriatric Hip Fracture Program-Which Patients Benefit the Most?

AIMS: To examine the association of patient-related factors with the effect of an in-hospital compre...

Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach.

We developed and independently validated a rheumatoid arthritis (RA) mortality prediction model usin...

Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks.

OBJECTIVE: To describe and compare logistic regression and neural network modeling strategies to pre...

Predicting all-cause risk of 30-day hospital readmission using artificial neural networks.

Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but a...