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Infectious-Disease Subcategories: Bacterial Infection COVID-19 Flu & URI Fungal Infection Hepatitis HIV/AIDS Public Health STDs Vaccines

Showing 2626-2646 of 7,716 articles

OCCAM: prediction of small ORFs in bacterial genomes by means of a target-decoy database approach and machine learning techniques.

Small open reading frames (ORFs) have been systematically disregarded by automatic genome annotation...

Jan 2020 33206960

Evaluating the Effect of Dexmedetomidine on Hemodynamic Status of Patients with Septic Shock Admitted to Intensive Care Unit: A Single-Blind Randomized Controlled Trial.

Septic shock, known as the most severe complication of sepsis, is a serious medical condition that c...

Jan 2020 33841540

Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.

OBJECTIVE: To use unsupervised topic modeling to evaluate heterogeneity in sepsis treatment patterns...

Dec 2019 31314892

A guide to machine learning for bacterial host attribution using genome sequence data.

With the ever-expanding number of available sequences from bacterial genomes, and the expectation th...

Dec 2019 31778355

Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

OBJECTIVE: To assess clinician perceptions of a machine learning-based early warning system to predi...

Nov 2019 31135500

A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.

OBJECTIVES: Develop and implement a machine learning algorithm to predict severe sepsis and septic s...

Nov 2019 31389839

A Double-Blind, Randomized Control Trial of Rapidly Infused High Strong Ion Difference (SID) Fluid Versus Hartmann's Solution on Acid-Base Status in Sepsis Patients in the Emergency Department.

BACKGROUND: Balanced fluids are preferred in initial resuscitation of septic patients based on sever...

Sep 2019 32995241

The MeSH-Gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for Semantic Similarity.

Eliciting semantic similarity between concepts remains a challenging task. Recent approaches founded...

Aug 2019 31437874

Artificial neural network-assisted Fourier transform infrared spectroscopy for differentiation of Salmonella serogroups and its application on epidemiological tracing of Salmonella Bovismorbificans outbreak isolates from fresh sprouts.

Salmonellae represent one of the most common bacterial infection reagents in both humans and animals...

Aug 2019 31518396

Identifying antimicrobial peptides using word embedding with deep recurrent neural networks.

MOTIVATION: Antibiotic resistance constitutes a major public health crisis, and finding new sources ...

Jun 2019 30418485

Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific m...

Apr 2019 30590545

High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus.

One potential source of new antibacterials is through probing existing chemical libraries for copper...

Mar 2019 30839007

Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.

Early identification of high-risk septic patients in the emergency department (ED) may guide appropr...

Feb 2019 30732136

Predicting culturable enterococci exceedances at Escambron Beach, San Juan, Puerto Rico using satellite remote sensing and artificial neural networks.

Predicting recreational water quality is key to protecting public health from exposure to wastewater...

Feb 2019 30758310

Application of the advanced oxidative process on the degradation of the green leaf and purple açaí food dyes with kinetic monitoring and artificial neural network modelling.

The study evaluated the advanced oxidative processes concerning the degradation of green leaf and pu...

Oct 2018 30339534

Infectious Disease

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OCCAM: prediction of small ORFs in bacterial genomes by means of a target-decoy database approach and machine learning techniques.

Evaluating the Effect of Dexmedetomidine on Hemodynamic Status of Patients with Septic Shock Admitted to Intensive Care Unit: A Single-Blind Randomized Controlled Trial.

Assessing clinical heterogeneity in sepsis through treatment patterns and machine learning.

A guide to machine learning for bacterial host attribution using genome sequence data.

Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.

A Double-Blind, Randomized Control Trial of Rapidly Infused High Strong Ion Difference (SID) Fluid Versus Hartmann's Solution on Acid-Base Status in Sepsis Patients in the Emergency Department.

The MeSH-Gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for Semantic Similarity.

Artificial neural network-assisted Fourier transform infrared spectroscopy for differentiation of Salmonella serogroups and its application on epidemiological tracing of Salmonella Bovismorbificans outbreak isolates from fresh sprouts.

Identifying antimicrobial peptides using word embedding with deep recurrent neural networks.

Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus.

Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.

Predicting culturable enterococci exceedances at Escambron Beach, San Juan, Puerto Rico using satellite remote sensing and artificial neural networks.

An account of in silico identification tools of secreted effector proteins in bacteria and future challenges.

Evaluation of a protocol for reducing the microbial contamination of dental unit water.

Removing aflatoxin M1 from milk with native lactic acid bacteria, centrifugation, and filtration.

In Vitro Investigation of Potential Anti-Diabetic Activity of the Corm Extract of Hypoxis Argentea Harv. Ex Baker.

The role of presepsin in the diagnosis and assessment of severity of sepsis and severe pneumonia.

Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU.

Application of the advanced oxidative process on the degradation of the green leaf and purple açaí food dyes with kinetic monitoring and artificial neural network modelling.

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