Sepsis

Ookinete-Specific Genes and 18S SSU rRNA Evidenced in Selection and Adaptation by Sympatric Vectors.

In the southern Pacific coast of Chiapas, Mexico (SM), the two most abundant vector species, and , ...

Early detection of sepsis utilizing deep learning on electronic health record event sequences.

BACKGROUND: The timeliness of detection of a sepsis incidence in progress is a crucial factor in the...

Feature selection based multivariate time series forecasting: An application to antibiotic resistance outbreaks prediction.

Antimicrobial resistance has become one of the most important health problems and global action plan...

Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's Patients.

In the last few years, the importance of measuring gait characteristics has increased tenfold due to...

Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches.

Recurrent and chronic respiratory tract infections in cystic fibrosis (CF) patients result in progre...

Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies.

BACKGROUND: Machine learning (ML) is increasingly being used in many areas of health care. Its use i...

Using machine learning to optimize antibiotic combinations: dosing strategies for meropenem and polymyxin B against carbapenem-resistant Acinetobacter baumannii.

OBJECTIVES: Increased rates of carbapenem-resistant strains of Acinetobacter baumannii have forced c...

Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning-enabled molecular diagnostics.

Limited therapy options due to antibiotic resistance underscore the need for optimization of current...

Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine.

Recent findings suggest that acetylcholine mediates uncertainty-seeking behaviors through its projec...

An Artificial Neural Network-based Predictive Model to Support Optimization of Inpatient Glycemic Control.

Achieving glycemic control in critical care patients is of paramount importance, and has been linke...

Using artificial intelligence (AI) to predict postoperative surgical site infection: A retrospective cohort of 4046 posterior spinal fusions.

OBJECTIVES: Machine Learning and Artificial Intelligence (AI) are rapidly growing in capability and ...

Clinical management of sepsis can be improved by artificial intelligence: no.

Improvement of classification performance of Parkinson's disease using shape features for machine learning on dopamine transporter single photon emission computed tomography.

OBJECTIVE: To assess the classification performance between Parkinson's disease (PD) and normal cont...

A boosting inspired personalized threshold method for sepsis screening.

Sepsis is one of the biggest risks to patient safety, with a natural mortality rate between 25% and ...

Computer-Aided Design of Antimicrobial Peptides: Are We Generating Effective Drug Candidates?

Antimicrobial peptides (AMPs), especially antibacterial peptides, have been widely investigated as p...

Machine learning can identify newly diagnosed patients with CLL at high risk of infection.

Infections have become the major cause of morbidity and mortality among patients with chronic lympho...

Promotes Stable Polymicrobial Biofilms With the Major Otopathogens.

Otitis media (OM) is a prevalent pediatric infection characterized by painful inflammation of the mi...

VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning.

Antimicrobial resistance (AMR) is an increasing threat to public health. Current methods of determin...

Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals.

Several European countries have established criteria for prioritising initiation of treatment in pat...

Comprehensive analysis of rule formalisms to represent clinical guidelines: Selection criteria and case study on antibiotic clinical guidelines.

BACKGROUND: The over-use of antibiotics in clinical domains is causing an alarming increase in bacte...

The damage response framework and infection prevention: From concept to bedside.

Hospital-acquired infections remain a common cause of morbidity and mortality despite advances in in...