AIMC Topic: Case-Control Studies

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Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder affecting 1 in 59 children. While noncoding genetic variation has been shown to play a major role in many complex disorders, the contribution of these regions to ASD susceptibi...
Child Gene Regulatory Networks Genetic Predisposition to Disease Polymorphism, Single Nucleotide Genetic Association Studies Autism Spectrum Disorder Female Male Case-Control Studies Cohort Studies Genetic Variation CpG Islands RNA, Untranslated Microsatellite Repeats Supranuclear Palsy, Progressive Computational Biology Logistic Models MicroRNAs DNA Whole Genome Sequencing Humans Machine Learning Phenotype
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A Cancer Paradox: Machine-Learning Backed Propensity-Score Analysis of Coronary Angiography Findings in Cardio-Oncology.

The Journal of invasive cardiology Jan 1, 2019
OBJECTIVES: Cancer has been proposed as a cardiovascular risk factor. We aimed to assess the cardiovascular risk profile and coronary angiography (CA) findings of cancer patients and compare them to those of patients without cancer.
Humans Cancer Care Facilities Logistic Models Male Machine Learning Age Factors Sex Factors Coronary Angiography Academic Medical Centers Risk Assessment Coronary Artery Disease Multivariate Analysis Retrospective Studies Neoplasms Reference Values Propensity Score Female Prevalence Texas Aged Case-Control Studies Aged, 80 and over
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Application of machine learning algorithms for the differential diagnosis of peroxisomal disorders.

Journal of biochemistry Jan 1, 2019
We have established diagnostic thresholds of very long-chain fatty acids (VLCFA) for the differential diagnosis of peroxisomal disorders using the machine learning tools. The plasma samples of 131 controls and 90 cases were tested for VLCFA using gas...
Female Infant, Newborn Young Adult Adult Male Humans Machine Learning Algorithms Phenotype Diagnosis, Differential Fatty Acids Gas Chromatography-Mass Spectrometry Genetic Diseases, X-Linked Peroxisomal Disorders Phytanic Acid Infant Case-Control Studies Adolescent Child, Preschool Child
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[Expression of follicular helper T cells in peripheral blood of patients with hepatic echinococcosis].

Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control Dec 25, 2018
OBJECTIVE: To detect the expression of follicuLar helper T cells (Tfh) and interleukin-21 (IL-21) in the peripheral blood of patients with hepatic echinococcosis and healthy controls, so as to explore the associations of Tfh and IL-21 expression with...
Echinococcosis, Hepatic Humans Receptors, CXCR5 Case-Control Studies Interleukins T-Lymphocytes, Helper-Inducer Flow Cytometry CD4-Positive T-Lymphocytes Interleukin-21
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Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the 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 Oct 1, 2018
OBJECTIVES: We used artificial intelligence to develop a novel algorithm using physiomarkers to predict the onset of severe sepsis in critically ill children.
Intensive Care Units, Pediatric Logistic Models Monitoring, Physiologic Predictive Value of Tests Heart Rate Organ Dysfunction Scores Respiratory Rate Male Case-Control Studies Sepsis Adolescent Child Humans Artificial Intelligence Machine Learning Prospective Studies Female
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Statistical Learning Methods to Determine Immune Correlates of Herpes Zoster in Vaccine Efficacy Trials.

The Journal of infectious diseases Sep 22, 2018
Using Super Learner, a machine learning statistical method, we assessed varicella zoster virus-specific glycoprotein-based enzyme-linked immunosorbent assay (gpELISA) antibody titer as an individual-level signature of herpes zoster (HZ) risk in the Z...
Machine Learning Female Male Middle Aged Case-Control Studies ROC Curve Antibodies, Viral Models, Statistical Randomized Controlled Trials as Topic Area Under Curve Humans Data Interpretation, Statistical Herpes Zoster Herpes Zoster Vaccine
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Macular Vessel Density and Ganglion Cell/Inner Plexiform Layer Thickness and Their Combinational Index Using Artificial Intelligence.

Journal of glaucoma Sep 1, 2018
PURPOSE: To evaluate the relationship between macular vessel density and ganglion cell to inner plexiform layer thickness (GCIPLT) and to compare their diagnostic performance. We attempted to develop a new combined parameter using an artificial neura...
Intraocular Pressure Male Middle Aged Case-Control Studies ROC Curve Retinal Ganglion Cells Artificial Intelligence Retinal Vessels Glaucoma, Open-Angle Area Under Curve Female Humans Aged Tomography, Optical Coherence Neural Networks, Computer Adult Nerve Fibers Cross-Sectional Studies
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Predictive markers of depression in hypertension.

Medicine Aug 1, 2018
Hypertension and depression, as 2 major public health issues, are closely related. For patients having hypertension, in particular, depression is a risk factor for mortality and jeopardizes their wellbeing. The aim of the study is to apply support ve...
Sex Factors Humans Biomarkers Body Temperature Female Serum Albumin Case-Control Studies Blood Urea Nitrogen Depression Reproducibility of Results Blood Glucose Age Factors Risk Factors Hypertension Lipids Aged Support Vector Machine Creatine Kinase Male Cholesterol Middle Aged Uric Acid
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Classifying Treated vs. Untreated MDD Adolescents from Anatomical Connectivity using Nonlinear SVM.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Identification of the treatment-related responders for adolescent Major Depressive Disorder (MDD) is urgently needed to develop effective treatments. In this paper, machine learning based classifiers are used to reveal anatomical features as responde...
Brain Case-Control Studies Humans Female Adolescent Young Adult Support Vector Machine Male Diffusion Tensor Imaging Depressive Disorder, Major
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Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions.

Bioinformatics (Oxford, England) Jul 1, 2018
MOTIVATION: Single-nucleotide polymorphism (SNP)-SNP interactions (SSIs) are popular markers for understanding disease susceptibility. Multifactor dimensionality reduction (MDR) can successfully detect considerable SSIs. Currently, MDR-based methods ...
Epistasis, Genetic Multifactor Dimensionality Reduction Case-Control Studies Genetic Predisposition to Disease Polymorphism, Single Nucleotide Humans Models, Genetic Coronary Artery Disease
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