AIMC Topic: Multivariate Analysis

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Machine learning for prediction of septic shock at initial triage in emergency department.

Journal of critical care Oct 22, 2019
BACKGROUND: We hypothesized utilizing machine learning (ML) algorithms for screening septic shock in ED would provide better accuracy than qSOFA or MEWS.
Multivariate Analysis Vital Signs Shock, Septic Support Vector Machine Triage Area Under Curve Emergency Service, Hospital Prognosis Electronic Health Records Republic of Korea Female Aged Young Adult Adult Male Middle Aged Sepsis Hospital Mortality Humans Machine Learning Software Algorithms
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Multivariate classification of schizophrenia and its familial risk based on load-dependent attentional control brain functional connectivity.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Oct 3, 2019
Patients with schizophrenia (SCZ), as well as their unaffected siblings (SIB), show functional connectivity (FC) alterations during performance of tasks involving attention. As compared with SCZ, these alterations are present in SIB to a lesser exten...
Humans Schizophrenia Machine Learning Brain Attention Multivariate Analysis Neuropsychological Tests Female Nerve Net Risk Factors Schizophrenic Psychology Adult Male Magnetic Resonance Imaging
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A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.

BMC cancer Sep 5, 2019
BACKGROUND: Predicting lung adenocarcinoma (LUAD) risk is crucial in determining further treatment strategies. Molecular biomarkers may improve risk stratification for LUAD.
Humans Machine Learning Prognosis Female Disease Progression Transcriptome Lung Neoplasms Gene Expression Regulation, Neoplastic Follow-Up Studies Databases, Genetic Aged Survival Rate Biomarkers, Tumor Male Middle Aged Adenocarcinoma of Lung Disease-Free Survival Proportional Hazards Models Multivariate Analysis Kaplan-Meier Estimate Genes, Neoplasm
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Machine Learning to Understand the Immune-Inflammatory Pathways in Fibromyalgia.

International journal of molecular sciences Aug 29, 2019
Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physical and emotional symptoms. Although its pathophysiology is largely unknown, immune-inflammatory pathways may be involved. We examined serum interleuki...
Fibromyalgia Signal Transduction C-Reactive Protein Pain Inflammation Mediators Multivariate Analysis Humans Machine Learning Cytokines Female Middle Aged Quality of Life Anxiety Severity of Illness Index Psychiatric Status Rating Scales Depression Surveys and Questionnaires
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Consistency and differences between centrality measures across distinct classes of networks.

PloS one Jul 26, 2019
The roles of different nodes within a network are often understood through centrality analysis, which aims to quantify the capacity of a node to influence, or be influenced by, other nodes via its connection topology. Many different centrality measur...
Multivariate Analysis Humans Neural Networks, Computer Models, Theoretical Cluster Analysis Principal Component Analysis
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Variation in the Thickness of Knee Cartilage. The Use of a Novel Machine Learning Algorithm for Cartilage Segmentation of Magnetic Resonance Images.

The Journal of arthroplasty Jul 24, 2019
BACKGROUND: The variation in articular cartilage thickness (ACT) in healthy knees is difficult to quantify and therefore poorly documented. Our aims are to (1) define how machine learning (ML) algorithms can automate the segmentation and measurement ...
Humans Machine Learning Femur Disease Progression Osteoarthritis, Knee Algorithms Image Processing, Computer-Assisted Magnetic Resonance Spectroscopy Female Body Mass Index Cartilage, Articular Aged Magnetic Resonance Imaging Male Knee Joint Middle Aged Multivariate Analysis
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Assessment of lipid peroxidation and artificial neural network models in early Alzheimer Disease diagnosis.

Clinical biochemistry Jul 15, 2019
OBJECTIVE: Lipid peroxidation constitutes a molecular mechanism involved in early Alzheimer Disease (AD) stages, and artificial neural network (ANN) analysis is a promising non-linear regression model, characterized by its high flexibility and utilit...
Models, Biological Lipid Peroxidation Alzheimer Disease Linear Models Multivariate Analysis Prostaglandins Isoprostanes Neural Networks, Computer Biomarkers Female Aged Male Humans
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Demographic, psychological, behavioral, and cognitive correlates of BMI in youth: Findings from the Adolescent Brain Cognitive Development (ABCD) study.

Psychological medicine Jul 10, 2019
BACKGROUND: Previous research has implicated demographic, psychological, behavioral, and cognitive variables in the onset and maintenance of pediatric overweight/obesity. No adequately-powered study has simultaneously modeled these variables to asses...
Sex Factors Linear Models Multivariate Analysis Health Status Disparities Demography Humans Machine Learning Female Risk Factors Overweight Body Mass Index Male Adolescent Behavior Adolescent Obesity Child Body Weight United States Cognition
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Multivariate classification of drug-naive obsessive-compulsive disorder patients and healthy controls by applying an SVM to resting-state functional MRI data.

BMC psychiatry Jul 5, 2019
BACKGROUND: Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies have revealed intrinsic regional activity alterations in obsessive-compulsive disorder (OCD), but those results were based on group analyses, which limits thei...
Multivariate Analysis Parietal Lobe Temporal Lobe Case-Control Studies Obsessive-Compulsive Disorder Support Vector Machine Limbic System Magnetic Resonance Imaging Brain Mapping Rest Humans Brain Female Young Adult Adult Male
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An intelligent warning model for early prediction of cardiac arrest in sepsis patients.

Computer methods and programs in biomedicine Jun 11, 2019
BACKGROUND: Sepsis-associated cardiac arrest is a common issue with the low survival rate. Early prediction of cardiac arrest can provide the time required for intervening and preventing its onset in order to reduce mortality. Several studies have be...
Female Vital Signs Reproducibility of Results Normal Distribution Incidence Heart Arrest Young Adult Humans Male Decision Trees Middle Aged Monitoring, Ambulatory Adult Machine Learning Severity of Illness Index APACHE Sensitivity and Specificity Algorithms Multivariate Analysis Case-Control Studies Electronic Health Records Sepsis Adolescent
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