AIMC Topic: Case-Control Studies

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Machine learning-based prediction of future breast cancer using algorithmically measured background parenchymal enhancement on high-risk screening MRI.

Journal of magnetic resonance imaging : JMRI Jan 16, 2019
BACKGROUND: Preliminary work has demonstrated that background parenchymal enhancement (BPE) assessed by radiologists is predictive of future breast cancer in women undergoing high-risk screening MRI. Algorithmically assessed measures of BPE offer a m...
Humans Machine Learning Algorithms Case-Control Studies Magnetic Resonance Imaging Predictive Value of Tests Breast Image Interpretation, Computer-Assisted Female Aged Adult Breast Neoplasms Middle Aged
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Support vector machine-based multivariate pattern classification of methamphetamine dependence using arterial spin labeling.

Addiction biology Jan 9, 2019
Arterial spin labeling (ASL) magnetic resonance imaging has been widely applied to identify cerebral blood flow (CBF) abnormalities in a number of brain disorders. To evaluate its significance in detecting methamphetamine (MA) dependence, this study ...
Spin Labels Humans Area Under Curve Brain Methamphetamine Young Adult Amphetamine-Related Disorders Adult Cerebrovascular Circulation Male Perfusion Imaging Case-Control Studies ROC Curve Imaging, Three-Dimensional Support Vector Machine Magnetic Resonance Imaging
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Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jan 7, 2019
OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The diagnosis of MPS is subjective, which has created a need for a robust quantitative method of diagnosing MPS. We propose that using a support vector mac...
Humans Algorithms Female Young Adult Support Vector Machine Syndrome Feasibility Studies Superficial Back Muscles Myofascial Pain Syndromes Adult Sensitivity and Specificity Male Case-Control Studies Ultrasonography
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Quantitation of serum 25(OH)D2 and 25(OH)D3 concentrations by liquid chromatography tandem mass spectrometry in patients with diabetes mellitus.

Journal of food and drug analysis Dec 31, 2018
Vitamin D has been considered to regulate calcium and phosphorus homeostasis and to preserve skeletal integrity. Serum 25-hydroxyvitamin D (25(OH)D) is the best indicator of vitamin D levels. The association of serum 25(OH)D deficiency with increased...
Middle Aged Chromatography, High Pressure Liquid Case-Control Studies Tandem Mass Spectrometry Humans Diabetes Mellitus, Type 2 Female Diabetes Mellitus, Type 1 Young Adult Vitamin D Adult Male
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BP neural network prediction model for suicide attempt among Chinese rural residents.

Journal of affective disorders Dec 27, 2018
OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) prediction model for suicide attempt, so as to improve the individual prediction accuracy.
Impulsive Behavior Rural Population Self Concept Male Asian People Middle Aged Adaptation, Psychological Suicide, Attempted Depressive Disorder Case-Control Studies Female China Risk Factors Social Support Young Adult Humans Surveys and Questionnaires Adult Neural Networks, Computer Adolescent Sensitivity and Specificity Child Logistic Models
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Resting-state anticorrelated networks in Schizophrenia.

Psychiatry research. Neuroimaging Dec 25, 2018
Converging evidences from different lines of research suggest abnormalities in functional brain connectivity in schizophrenia. While positively correlated brain networks have been well researched, anticorrelated functional connectivity remains under ...
Female Adult Male Case-Control Studies Support Vector Machine Magnetic Resonance Imaging Brain Mapping Schizophrenia Rest Gyrus Cinguli Humans Machine Learning Brain Neural Pathways Thalamus Temporal Lobe
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Decreased circulating catestatin levels are associated with coronary artery disease: The emerging anti-inflammatory role.

Atherosclerosis Dec 24, 2018
BACKGROUND AND AIMS: The neuropeptide catestatin (CST) is an endogenous nicotinic cholinergic antagonist that acts as pleiotropic cardiac protective hormone. This study investigated the association between CST and coronary artery disease (CAD) and th...
Humans Cells, Cultured Cytokines Peptidyl-Dipeptidase A Biomarkers Plaque, Atherosclerotic Down-Regulation Female Human Umbilical Vein Endothelial Cells Cell Adhesion Molecules Animals Peptide Fragments Angiotensin-Converting Enzyme 2 Male Anti-Inflammatory Agents Chromogranin A Severity of Illness Index Coronary Artery Disease Mice, Knockout, ApoE Case-Control Studies Atherosclerosis Disease Models, Animal
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8-Hydroxy-2'-deoxyguanosine as a Discriminatory Biomarker for Early Detection of Breast Cancer.

Clinical breast cancer Dec 21, 2018
BACKGROUND: Breast cancer (BC) is one of the most prevalent and reported cancers among Saudi women. Detection of BC in the early invasive stage (stages I, II) has an advantage in treating patients over detection in the late invasive stage (stages III...
GPI-Linked Proteins Carcinoembryonic Antigen Humans Breast Neoplasms Female Postmenopause Biomarkers, Tumor Sensitivity and Specificity Mucin-1 Case-Control Studies Risk Early Detection of Cancer 8-Hydroxy-2'-Deoxyguanosine
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Radiomics-Based Intracranial Thrombus Features on CT and CTA Predict Recanalization with Intravenous Alteplase in Patients with Acute Ischemic Stroke.

AJNR. American journal of neuroradiology Dec 20, 2018
BACKGROUND AND PURPOSE: Thrombus characteristics identified on non-contrast CT (NCCT) are potentially associated with recanalization with intravenous (IV) alteplase in patients with acute ischemic stroke (AIS). Our aim was to determine the best radio...
Computed Tomography Angiography Intracranial Thrombosis Male Middle Aged Case-Control Studies ROC Curve Treatment Outcome Support Vector Machine Stroke Tissue Plasminogen Activator Image Interpretation, Computer-Assisted Neuroimaging Humans Tomography, X-Ray Computed Female Aged
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Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.

Thoracic cancer Dec 8, 2018
BACKGROUND: The study was conducted to evaluate the performance of a state-of-the-art commercial deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing pulmonary nodules.
Female Reproducibility of Results Male Middle Aged Case-Control Studies Humans Prognosis Tomography, X-Ray Computed Early Detection of Cancer Radiologists Diagnosis, Computer-Assisted Deep Learning Follow-Up Studies Multiple Pulmonary Nodules Solitary Pulmonary Nodule
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