AIMC Topic: Multivariate Analysis

Clear Filters Showing 151 to 160 of 249 articles

Antiphospholipid Antibodies and Heart Valve Disease in Systemic Lupus Erythematosus.

The American journal of the medical sciences Jul 20, 2017
Evaluation of antiphospholipid antibodies (aPL) and correlation with heart valve abnormalities among patients with systemic lupus erythematosus (SLE). Nested case-control study was conducted with 70 patients with SLE selected from a longitudinal data...
Aortic Valve Stenosis Lupus Erythematosus, Systemic Mitral Valve Insufficiency Aortic Valve Insufficiency Heart Valve Diseases Humans Female Multivariate Analysis Young Adult Odds Ratio Adult Heart Valve Prosthesis Male Antibodies, Antiphospholipid Mitral Valve Stenosis Tricuspid Valve Insufficiency Echocardiography Middle Aged Case-Control Studies Adolescent Logistic Models
View on PubMed DOI

Estimating psychopathological networks: Be careful what you wish for.

PloS one Jun 23, 2017
Network models, in which psychopathological disorders are conceptualized as a complex interplay of psychological and biological components, have become increasingly popular in the recent psychopathological literature (Borsboom, et. al., 2011). These ...
Neural Networks, Computer Research Design Logistic Models Datasets as Topic Multivariate Analysis Psychopathology Humans
View on PubMed DOI

NIRCa: An artificial neural network-based insulin resistance calculator.

Pediatric diabetes Jun 19, 2017
BACKGROUND: Direct measurement of insulin sensitivity in children with type 1 diabetes is cumbersome and time consuming.
Young Adult Adult Cross-Sectional Studies Male Adolescent Child Humans Neural Networks, Computer Machine Learning Female Reproducibility of Results Predictive Value of Tests Diabetic Angiopathies Random Allocation Multivariate Analysis Glucose Clamp Technique Prehypertension Insulin Resistance Puberty Computational Biology Diabetes Mellitus, Type 1 Hypertension
View on PubMed DOI

Correlates of sleep quality in midlife and beyond: a machine learning analysis.

Sleep medicine Mar 27, 2017
OBJECTIVES: In older adults, traditional metrics derived from polysomnography (PSG) are not well correlated with subjective sleep quality. Little is known about whether the association between PSG and subjective sleep quality changes with age, or whe...
Cross-Sectional Studies Humans Male Machine Learning Aging Electroencephalography Brain Middle Aged Self Report Female Cohort Studies Sleep Multivariate Analysis Independent Living Polysomnography
View on PubMed DOI

Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients.

Scientific reports Feb 8, 2017
Tacrolimus has a narrow therapeutic window and considerable variability in clinical use. Our goal was to compare the performance of multiple linear regression (MLR) and eight machine learning techniques in pharmacogenetic algorithm-based prediction o...
Adult Male Middle Aged Cohort Studies Renal Insufficiency, Chronic Immunosuppressive Agents Humans Machine Learning Kidney Transplantation Precision Medicine Female Multivariate Analysis Bayes Theorem Tacrolimus Transplant Recipients Linear Models Drug Dosage Calculations
View on PubMed DOI

Impact of chromogranin A, differentiation, and mitoses in nonfunctional pancreatic neuroendocrine tumors ≤ 2 cm.

The Journal of surgical research Dec 29, 2016
BACKGROUND: Small pancreatic neuroendocrine tumors (PNETs) are a unique subset of pancreatic neoplasms. Chromogranin A (CgA) levels, mitotic rate, and histologic differentiation are often used to characterize PNET behavior. This study evaluates the i...
Aged Aged, 80 and over Neoplasm Staging Neuroendocrine Tumors Survival Analysis Young Adult Humans Multivariate Analysis Adult Middle Aged Databases, Factual Propensity Score Biomarkers, Tumor Adolescent Prognosis Male Chromogranin A Logistic Models Retrospective Studies Mitosis Pancreatic Neoplasms Female Cell Differentiation
View on PubMed DOI

EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.

Medical & biological engineering & computing Dec 19, 2016
Electroencephalography (EEG) has been widely utilized to measure the depth of anaesthesia (DOA) during operation. However, the EEG signals are usually contaminated by artifacts which have a consequence on the measured DOA accuracy. In this study, an ...
Pattern Recognition, Automated Multivariate Analysis Entropy Consciousness Monitors Neural Networks, Computer Algorithms Brain Computer Simulation Reproducibility of Results Sensitivity and Specificity Intraoperative Neurophysiological Monitoring Models, Statistical Data Interpretation, Statistical Humans Electroencephalography Artifacts
View on PubMed DOI

Impact of robotics and a suspended lead suit on physician radiation exposure during percutaneous coronary intervention.

Cardiovascular revascularization medicine : including molecular interventions Dec 16, 2016
BACKGROUND: Reports of left-sided brain malignancies among interventional cardiologists have heightened concerns regarding physician radiation exposure. This study evaluated the impact of a suspended lead suit and robotic system on physician radiatio...
Radiation Monitoring Radiation Dosage Radiation Protection Risk Assessment Multivariate Analysis Robotics Protective Clothing Humans Radiography, Interventional Time Factors Radiation Dosimeters Coronary Angiography Thorax Physicians Occupational Exposure Radiation Exposure Equipment Design Prospective Studies Logistic Models Percutaneous Coronary Intervention Risk Factors Lead Linear Models Head
View on PubMed DOI

Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks.

BMC medical research methodology Nov 22, 2016
BACKGROUND: Outcome prediction is important in the clinical decision-making process. Artificial neural networks (ANN) have been used to predict the risk of post-operative events, including survival, and are increasingly being used in complex medical ...
Neural Networks, Computer Prognosis Retrospective Studies Female Aged Aged, 80 and over Male Middle Aged Prevalence Comorbidity Hospital Mortality Spain Humans Amputation, Surgical Diabetes Mellitus, Type 2 Lower Extremity Patient Discharge Outcome Assessment, Health Care Multivariate Analysis
View on PubMed DOI

Inferring Weighted Directed Association Network from Multivariate Time Series with a Synthetic Method of Partial Symbolic Transfer Entropy Spectrum and Granger Causality.

PloS one Nov 10, 2016
Complex network methodology is very useful for complex system explorer. However, the relationships among variables in complex system are usually not clear. Therefore, inferring association networks among variables from their observed data has been a ...
Computational Biology Models, Theoretical Multivariate Analysis Entropy Neural Networks, Computer Algorithms Reproducibility of Results Time Factors
View on PubMed DOI
Popular Topics
Recent Journals