AIMC Topic: Case-Control Studies

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A robust machine learning enabled decomposition of shear ground reaction forces during the double contact phase of walking.

Gait & posture Jul 9, 2019
BACKGROUND: Dynamic analyses of walking rely on the 3D ground reaction forces (GRF) under each foot, while only the resultant force of both limbs may be recorded on a single-belt instrumented treadmill or when both feet touch the same force platform.
Walking Gait Linear Models Cerebral Palsy Gait Analysis Foot Hemiplegia Gait Disorders, Neurologic Quadriplegia Male Middle Aged Case-Control Studies Adolescent Child Retrospective Studies Female Young Adult Adult Biomechanical Phenomena Humans Machine Learning
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Application of artificial neural network model in diagnosis of Alzheimer's disease.

BMC neurology Jul 8, 2019
BACKGROUND: Alzheimer's disease has become a public health crisis globally due to its increasing incidence. The purpose of this study was to establish an early warning model using artificial neural network (ANN) for early diagnosis of AD and to explo...
Sensitivity and Specificity Male Case-Control Studies Trace Elements Nerve Tissue Proteins Neural Networks, Computer Biomarkers Female Aged Aged, 80 and over Area Under Curve Amyloid beta-Peptides Peptide Fragments Alzheimer Disease Early Diagnosis Humans
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Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data.

Acta psychiatrica Scandinavica Jul 6, 2019
OBJECTIVE: Mechanical restraint (MR) is used to prevent patients from harming themselves or others during inpatient treatment. The objective of this study was to investigate whether incident MR occurring in the first 3 days following admission could ...
Humans Machine Learning Mental Disorders Electronic Health Records Female Inpatients Denmark Predictive Value of Tests Self-Injurious Behavior Restraint, Physical Early Warning Score Hospitalization Sensitivity and Specificity Male Case-Control Studies Time Factors
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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...
Humans Brain Female Young Adult Adult Male Case-Control Studies Multivariate Analysis Support Vector Machine Parietal Lobe Magnetic Resonance Imaging Temporal Lobe Brain Mapping Obsessive-Compulsive Disorder Rest Limbic System
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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 ...
Acceleration Accelerometry Movement Ankle Attention Deficit Disorder with Hyperactivity Humans Neural Networks, Computer Algorithms Female Case-Control Studies Male Adolescent Wearable Electronic Devices Child Wrist
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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....
Male Middle Aged Peptides Humans Severity of Illness Index Sarcomeres Biomarkers Proteomics Machine Learning Case-Control Studies Female Phenotype Predictive Value of Tests Aged Prospective Studies Mutation Young Adult Adult Cardiomyopathy, Hypertrophic Hypertrophy, Left Ventricular
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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 Magnetic Resonance Imaging Adult Rest Area Under Curve Humans Male Discriminant Analysis Neural Networks, Computer Middle Aged Schizophrenia Brain Case-Control Studies Female Deep Learning Young Adult
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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...
Computed Tomography Angiography Aortography Predictive Value of Tests Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Humans Automation Neural Networks, Computer Aorta, Abdominal Prognosis Reproducibility of Results Case-Control Studies
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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 ...
Aged Male Case-Control Studies Diagnosis, Computer-Assisted Deep Learning Humans Imaging, Three-Dimensional Alzheimer Disease Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Female
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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...
Female Asthma Male Lung Case-Control Studies Adolescent Child, Preschool Child ROC Curve Anemia, Sickle Cell Humans Machine Learning Retrospective Studies Oscillometry Respiratory Function Tests Spirometry Respiratory Mechanics Vital Capacity Bronchodilator Agents
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