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Machine learning based refined differential gene expression analysis of pediatric sepsis.

BMC medical genomics Aug 28, 2020
BACKGROUND: Differential expression (DE) analysis of transcriptomic data enables genome-wide analysis of gene expression changes associated with biological conditions of interest. Such analysis often provides a wide list of genes that are differentia...
ROC Curve Gene Regulatory Networks Computational Biology Gene Expression Profiling Transcriptome Sepsis Child Humans Machine Learning Biomarkers
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HybridSucc: A Hybrid-learning Architecture for General and Species-specific Succinylation Site Prediction.

Genomics, proteomics & bioinformatics Aug 28, 2020
As an important protein acylation modification, lysine succinylation (Ksucc) is involved in diverse biological processes, and participates in human tumorigenesis. Here, we collected 26,243 non-redundant known Ksucc sites from 13 species as the benchm...
Humans Machine Learning Algorithms Neoplasms ROC Curve Proteome Proteins Area Under Curve Amino Acid Sequence Species Specificity Lysine Succinic Acid Acylation
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Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning.

Sensors (Basel, Switzerland) Aug 27, 2020
Physical findings of auscultation cannot be quantified at the arteriovenous fistula examination site during daily dialysis treatment. Consequently, minute changes over time cannot be recorded based only on subjective observations. In this study, we s...
Male Middle Aged Deep Learning Renal Dialysis Humans ROC Curve Auscultation Arteriovenous Fistula Neural Networks, Computer Female Aged Aged, 80 and over
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A machine learning approach to predict intravenous immunoglobulin resistance in Kawasaki disease patients: A study based on a Southeast China population.

PloS one Aug 27, 2020
Kawasaki disease is the leading cause of pediatric acquired heart disease. Coronary artery abnormalities are the main complication of Kawasaki disease. Kawasaki disease patients with intravenous immunoglobulin resistance are at a greater risk of deve...
Male Risk Assessment Infant China Child, Preschool ROC Curve Models, Biological Machine Learning Logistic Models Immunoglobulins, Intravenous Retrospective Studies Mucocutaneous Lymph Node Syndrome Drug Resistance Humans Coronary Artery Disease Female Risk Factors Feasibility Studies
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Computer-Aided System for the Detection of Multicategory Pulmonary Tuberculosis in Radiographs.

Journal of healthcare engineering Aug 24, 2020
The early screening and diagnosis of tuberculosis plays an important role in the control and treatment of tuberculosis infections. In this paper, an integrated computer-aided system based on deep learning is proposed for the detection of multiple cat...
ROC Curve Reproducibility of Results Humans Area Under Curve False Positive Reactions Sensitivity and Specificity Neural Networks, Computer Equipment Design Radiography, Thoracic Algorithms Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Thorax Databases, Factual Deep Learning Tuberculosis, Pulmonary X-Rays Computer Systems
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Automated detection of early-stage ROP using a deep convolutional neural network.

The British journal of ophthalmology Aug 23, 2020
BACKGROUND/AIM: To automatically detect and classify the early stages of retinopathy of prematurity (ROP) using a deep convolutional neural network (CNN).
Algorithms Retrospective Studies Female Infant, Newborn Sensitivity and Specificity Humans Neural Networks, Computer Birth Weight Infant, Premature Infant, Low Birth Weight Gestational Age Retinopathy of Prematurity Cross-Sectional Studies Male Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted
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Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS".

BMC bioinformatics Aug 21, 2020
BACKGROUND: The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant urinary tract infection (MDR UTI) after hospitalization. To achieve this goal, we used different popular Machine L...
Italy Urinary Tract Infections Models, Biological Machine Learning Algorithms Female Aged Male Humans Neural Networks, Computer Middle Aged Drug Resistance, Multiple, Bacterial ROC Curve Support Vector Machine Area Under Curve
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Identifying disease trajectories with predicate information from a knowledge graph.

Journal of biomedical semantics Aug 20, 2020
BACKGROUND: Knowledge graphs can represent the contents of biomedical literature and databases as subject-predicate-object triples, thereby enabling comprehensive analyses that identify e.g. relationships between diseases. Some diseases are often dia...
Biological Ontologies Disease Computer Graphics Humans ROC Curve Information Storage and Retrieval Semantics
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Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.

The European respiratory journal Aug 20, 2020
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality.
ROC Curve Decision Support Systems, Clinical Age Factors Predictive Value of Tests Triage Risk Assessment Severity of Illness Index China Pandemics Cohort Studies COVID-19 Survival Analysis Hospital Mortality Humans Hospitalization Retrospective Studies Internationality Machine Learning Area Under Curve Female Aged Belgium Italy Reproducibility of Results Clinical Laboratory Techniques Adult Coronavirus Infections Male Pneumonia, Viral COVID-19 Testing Middle Aged Sex Factors
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The FUTUREPAIN study: Validating a questionnaire to predict the probability of having chronic pain 7-10 years into the future.

PloS one Aug 20, 2020
OBJECTIVES: The FUTUREPAIN study develops a short general-purpose questionnaire, based on the biopsychosocial model, to predict the probability of developing or maintaining moderate-to-severe chronic pain 7-10 years into the future.
ROC Curve Chronic Pain Aged, 80 and over Adult Male Middle Aged Surveys and Questionnaires Algorithms Retrospective Studies Female Aged Humans Machine Learning
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