AIMC Topic: Multivariate Analysis

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Using Time Series Analysis to Predict Cardiac Arrest in a PICU.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Nov 1, 2015
OBJECTIVES: To build and test cardiac arrest prediction models in a PICU, using time series analysis as input, and to measure changes in prediction accuracy attributable to different classes of time series data.
Retrospective Studies Young Adult Infant Adolescent Child, Preschool Humans Predictive Value of Tests Neural Networks, Computer Area Under Curve Linear Models Multivariate Analysis Heart Arrest Child Intensive Care Units, Pediatric ROC Curve Support Vector Machine Decision Trees
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Correlation of Brain Neuropeptide (Nesfatin-1 and Orexin-A) Concentrations with Anthropometric and Biochemical Parameters in Malnourished Children.

Journal of clinical research in pediatric endocrinology Sep 1, 2015
OBJECTIVE: Malnutrition continues to be a leading cause of stunted growth in many countries. This study aimed to investigate serum nesfatin-1 and orexin-A levels in underweight children and the potential correlations of these levels with anthropometr...
Humans Multivariate Analysis Female Child Nutrition Disorders Body Weight Orexins Male Vitamin B 12 Body Mass Index Calcium-Binding Proteins Body Height Case-Control Studies Nerve Tissue Proteins Nucleobindins Anthropometry Child, Preschool Thyrotropin Child Thyroxine Enzyme-Linked Immunosorbent Assay DNA-Binding Proteins
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Using machine learning to examine medication adherence thresholds and risk of hospitalization.

Medical care Aug 1, 2015
BACKGROUND: Quality improvement efforts are frequently tied to patients achieving ≥80% medication adherence. However, there is little empirical evidence that this threshold optimally predicts important health outcomes.
Assessment of Medication Adherence Medicaid Male Middle Aged Female Humans United States Risk Assessment Hospitalization Artificial Intelligence Hypoglycemic Agents Cohort Studies Aged Retrospective Studies Diabetes Mellitus, Type 2 Aged, 80 and over Patient Compliance Adult Quality Improvement Multivariate Analysis
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Risk Factors Associated with Intraoperative Major Blood Loss during Resection of Hepatocellular Carcinoma.

Hepato-gastroenterology Jun 1, 2015
BACKGROUND/AIMS: Intraoperative blood loss is an independent predictor of recurrence and survival after resection of hepatocellular carcinoma (HCC). The aim of this study was to identify the risk factors associated with intraoperative major blood los...
Hepatic Artery Hepatic Veins Intraoperative Complications Tumor Burden Length of Stay Aspartate Aminotransferases Aged Cohort Studies Humans Blood Transfusion Hepatectomy Aged, 80 and over Liver Neoplasms Retrospective Studies Neoplasm Invasiveness Adult Carcinoma, Hepatocellular Multivariate Analysis Female Operative Time Male Blood Loss, Surgical Risk Factors Middle Aged Alkaline Phosphatase Hemorrhage
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Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test.

Investigative ophthalmology & visual science Jun 1, 2015
PURPOSE: To increase the effectiveness of treating open-angle glaucoma (OAG), we tried to find a screening method of differentiating OAG from glaucoma suspect (GS) without a visual field (VF) test.
Sensitivity and Specificity Cross-Sectional Studies Intraocular Pressure Male Middle Aged Female Risk Factors Aged Adult Nerve Fibers Retinal Ganglion Cells Multivariate Analysis Diagnostic Techniques, Ophthalmological Glaucoma, Open-Angle Refractive Errors Visual Acuity Diagnosis, Differential Predictive Value of Tests Tomography, Optical Coherence Ocular Hypertension Humans Neural Networks, Computer Glaucoma
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Focus-independent particle size measurement from streak images: a comparison of multivariate methods.

The Analyst Mar 7, 2015
Our laboratories have recently developed a flow-through imaging photometer to characterize and classify fluorescent particles between 3 and 47 μm in size. The wide aperture of the objective lens (0.7 NA) required for measuring spectral fluorescence o...
Fluorescence Image Processing, Computer-Assisted Support Vector Machine Algorithms Particle Size Calibration Multivariate Analysis Microspheres
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Intrapartum fetal heart rate classification from trajectory in Sparse SVM feature space.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Intrapartum fetal heart rate (FHR) constitutes a prominent source of information for the assessment of fetal reactions to stress events during delivery. Yet, early detection of fetal acidosis remains a challenging signal processing task. The original...
Humans Pregnancy Female Support Vector Machine Heart Rate, Fetal Multivariate Analysis Fetus Acidosis
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Patient-specific early classification of multivariate observations.

International journal of data mining and bioinformatics Jan 1, 2015
Early classification of time series has been receiving a lot of attention recently. In this paper we present a model, which we call the Early Classification Model (ECM), that allows for early, accurate and patient-specific classification of multivari...
Humans Support Vector Machine Gene Expression Profiling Databases, Factual Diagnosis, Computer-Assisted Markov Chains Sepsis Multiple Sclerosis Computational Biology Multivariate Analysis
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Defining multivariate normative rules for healthy aging using neuroimaging and machine learning: an application to Alzheimer's disease.

Journal of Alzheimer's disease : JAD Jan 1, 2015
BACKGROUND: Neuroimaging techniques combined with computational neuroanatomy have been playing a role in the investigation of healthy aging and Alzheimer's disease (AD). The definition of normative rules for brain features is a crucial step to establ...
Alzheimer Disease Image Interpretation, Computer-Assisted Pattern Recognition, Automated Multivariate Analysis Support Vector Machine Magnetic Resonance Imaging Unsupervised Machine Learning Organ Size Databases, Factual Brain Female Aged Aged, 80 and over Sensitivity and Specificity Humans Male Aging Middle Aged Cognitive Dysfunction
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