Critical Care

Sepsis

Latest AI and machine learning research in sepsis for healthcare professionals.

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Critical-Care Subcategories: Sepsis
Showing 1933-1953 of 7,148 articles
Assessment of Risk Factors and Outcome of Early Versus Late Cytomegalovirus Infection Infection in Living-related D+/R + Renal Allograft Recipients.

INTRODUCTION: Cytomegalovirus infection (CMV) in a kidney transplant recipient (KTR) is a serious co...

Mar 2021 35283573
A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach.

Tolerance to stress conditions is vital for organismal survival, including bacteria under specific e...

Mar 2021 33757842
Host-dependent molecular factors mediating SARS-CoV-2 infection to gain clinical insights for developing effective targeted therapy.

Coronavirus disease 2019 (COVID-19), a recent viral pandemic that first began in December 2019, in H...

(2)
Mar 2021 33743061
QSAR Models for Active Substances against Using Disk-Diffusion Test Data.

is a Gram-negative bacillus included among the six "ESKAPE" microbial species with an outstanding a...

(1)
Mar 2021 33808845
Abnormal lung quantification in chest CT images of COVID-19 patients with deep learning and its application to severity prediction.

OBJECTIVE: Computed tomography (CT) provides rich diagnosis and severity information of COVID-19 in ...

Mar 2021 33225476
Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images.

PURPOSE: Dopamine transporter (DAT) SPECT imaging is routinely used in the diagnosis of Parkinson's ...

(2)
Mar 2021 33892414
Individualized prediction of COVID-19 adverse outcomes with MLHO.

The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates ...

Mar 2021 33674708
Clinical Features of Emergency Department Patients from Early COVID-19 Pandemic that Predict SARS-CoV-2 Infection: Machine-learning Approach.

INTRODUCTION: Within a few months coronavirus disease 2019 (COVID-19) evolved into a pandemic causin...

Mar 2021 33856307
Prediction of antibiotic-resistance genes occurrence at a recreational beach with deep learning models.

Antibiotic resistance genes (ARGs) have been reported to threaten the public health of beachgoers wo...

Mar 2021 33744657
COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases.

The recognition of COVID-19 infection from X-ray images is an emerging field in the learning and com...

Mar 2021 33802428
Prediction of Sepsis in COVID-19 Using Laboratory Indicators.

BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has become a global public health co...

Mar 2021 33747973
Analysis of protein determinants of host-specific infection properties of polyomaviruses using machine learning.

BACKGROUND: The large tumor antigen (LT-Ag) and major capsid protein VP1 are known to play important...

Mar 2021 33646531
Propagation source identification of infectious diseases with graph convolutional networks.

Source identification in networks has drawn considerable interest to understand and control the infe...

Feb 2021 33640536
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning.

BACKGROUND: Presumed serious infection (PSI) is defined as a blood culture drawn and new antibiotic ...

Feb 2021 33667812
AI-based mobile application to fight antibiotic resistance.

Antimicrobial resistance is a major global health threat and its development is promoted by antibiot...

Feb 2021 33608509
Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused a global pandemic that has raised worldwi...

Feb 2021 33602128
Early risk assessment for COVID-19 patients from emergency department data using machine learning.

Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) h...

(3)
Feb 2021 33603086
Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables.

This study aimed to develop a machine learning algorithm to identify key clinical measures to triag...

Feb 2021 33746590
HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study.

Early detection of sepsis can be life-saving. Machine learning models have shown great promise in ea...

Feb 2021 33639353
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