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Case-Control Studies

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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...
Obsessive-Compulsive Disorder Limbic System Brain Mapping Rest Multivariate Analysis Parietal Lobe Temporal Lobe Humans Brain Female Young Adult Adult Male Case-Control Studies Support Vector Machine Magnetic Resonance Imaging
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Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.

Sensors (Basel, Switzerland) Jul 3, 2019
Attention deficit and hyperactivity disorder (ADHD) is a neurodevelopmental condition that affects, among other things, the movement patterns of children suffering it. Inattention, hyperactivity and impulsive behaviors, major symptoms characterizing ...
Humans Neural Networks, Computer Algorithms Female Wrist Male Acceleration Accelerometry Case-Control Studies Movement Adolescent Ankle Wearable Electronic Devices Attention Deficit Disorder with Hyperactivity Child
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Identification of a Multiplex Biomarker Panel for Hypertrophic Cardiomyopathy Using Quantitative Proteomics and Machine Learning.

Molecular & cellular proteomics : MCP Jun 26, 2019
Hypertrophic cardiomyopathy (HCM) is defined by pathological left ventricular hypertrophy (LVH). It is the commonest inherited cardiac condition and a significant number of high risk cases still go undetected until a sudden cardiac death (SCD) event....
Humans Machine Learning Phenotype Prospective Studies Biomarkers Female Aged Young Adult Adult Male Predictive Value of Tests Middle Aged Mutation Peptides Cardiomyopathy, Hypertrophic Severity of Illness Index Hypertrophy, Left Ventricular Case-Control Studies Sarcomeres Proteomics
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3D-CNN based discrimination of schizophrenia using resting-state fMRI.

Artificial intelligence in medicine Jun 22, 2019
MOTIVATION: This study reports a framework to discriminate patients with schizophrenia and normal healthy control subjects, based on magnetic resonance imaging (MRI) of the brain. Resting-state functional MRI data from a total of 144 subjects (72 pat...
Functional Neuroimaging Adult Rest Humans Magnetic Resonance Imaging Area Under Curve Neural Networks, Computer Male Discriminant Analysis Brain Middle Aged Schizophrenia Female Case-Control Studies Young Adult Deep Learning
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Automatic Segmentation, Detection, and Diagnosis of Abdominal Aortic Aneurysm (AAA) Using Convolutional Neural Networks and Hough Circles Algorithm.

Cardiovascular engineering and technology Jun 19, 2019
PURPOSE: An abdominal aortic aneurysm (AAA) is known as a cardiovascular disease involving localized deformation (swelling or enlargement) of aorta occurring between the renal and iliac arteries. AAA would jeopardize patients' lives due to its ruptur...
Neural Networks, Computer Prognosis Reproducibility of Results Case-Control Studies Humans Predictive Value of Tests Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Automation Aorta, Abdominal Computed Tomography Angiography Aortography
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Diagnosis of Alzheimer's disease with Sobolev gradient-based optimization and 3D convolutional neural network.

International journal for numerical methods in biomedical engineering Jun 19, 2019
Alzheimer's disease is a neuropsychiatric, progressive, also an irreversible disease. There is not an effective cure for the disease. However, early diagnosis has an important role for treatment planning to delay its progression since the treatments ...
Magnetic Resonance Imaging Alzheimer Disease Male Case-Control Studies Diagnosis, Computer-Assisted Humans Deep Learning Imaging, Three-Dimensional Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Female Aged
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Diagnostic value of spirometry vs impulse oscillometry: A comparative study in children with sickle cell disease.

Pediatric pulmonology Jun 18, 2019
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle cell disease (C-SCD). However, spirometry is difficult for younger children to perform, is effort dependent, and it provides limited information on resp...
Child ROC Curve Anemia, Sickle Cell Respiratory Function Tests Spirometry Respiratory Mechanics Vital Capacity Bronchodilator Agents Oscillometry Male Lung Case-Control Studies Adolescent Child, Preschool Humans Machine Learning Retrospective Studies Female Asthma
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Modelling disease risk for amyloid A (AA) amyloidosis in non-human primates using machine learning.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis Jun 18, 2019
Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk prior to clinical symptoms is challenging. We applied machine learning to identify the best predictors of amyloidosis in rhesus macaques from availabl...
Male Case-Control Studies Diarrhea Adenocarcinoma Disease Models, Animal Models, Statistical Biomarkers Retrospective Studies Female Risk Factors Animals Triglycerides Arthritis Wounds and Injuries Macaca mulatta Colitis Serum Amyloid A Protein Cholesterol, LDL Gastrointestinal Neoplasms Endometriosis Cholesterol, HDL Amyloidosis Humans Machine Learning
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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...
Middle Aged Normal Distribution Humans Decision Trees Heart Arrest Machine Learning Monitoring, Ambulatory Severity of Illness Index Algorithms APACHE Reproducibility of Results Electronic Health Records Case-Control Studies Multivariate Analysis Young Adult Sepsis Female Vital Signs Adult Adolescent Sensitivity and Specificity Incidence Male
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Machine-learning based brain age estimation in major depression showing no evidence of accelerated aging.

Psychiatry research. Neuroimaging Jun 11, 2019
Molecular biological findings indicate that affective disorders are associated with processes akin to accelerated aging of the brain. The use of the BrainAGE (brain age estimation gap) framework allows machine-learning based detection of a gap betwee...
Statistics as Topic Humans Machine Learning Brain Depressive Disorder, Major Aged Female Case-Control Studies Young Adult Pilot Projects Adult Aging, Premature Male Magnetic Resonance Imaging Middle Aged
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