AIMC Topic: Machine Learning

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Individualized prediction of dispositional worry using white matter connectivity.

Psychological medicine Oct 25, 2018
BACKGROUND: Excessive worry is a defining feature of generalized anxiety disorder and is present in a wide range of other psychiatric conditions. Therefore, individualized predictions of worry propensity could be highly relevant in clinical practice,...
Nerve Net Anisotropy Diffusion Magnetic Resonance Imaging Nerve Fibers, Myelinated Image Processing, Computer-Assisted Regression Analysis Multivariate Analysis White Matter Adult Male Anxiety Disorders Humans Machine Learning Female Young Adult
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A Machine Learning Approach to Identify NIH-Funded Applied Prevention Research.

American journal of preventive medicine Oct 25, 2018
INTRODUCTION: To fulfill its mission, the NIH Office of Disease Prevention systematically monitors NIH investments in applied prevention research. Specifically, the Office focuses on research in humans involving primary and secondary prevention, and ...
Secondary Prevention Health Services Research Humans National Institutes of Health (U.S.) Machine Learning United States Financing, Government Primary Prevention
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Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms.

Scientific reports Oct 25, 2018
The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers an...
Humans Machine Learning Algorithms Female Adult Epithelial Cells Pulmonary Disease, Chronic Obstructive Gene Expression Regulation Lung Male Smokers Case-Control Studies Middle Aged Genetic Association Studies Statistics, Nonparametric Disease Progression Cluster Analysis
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Heterogeneous Domain Adaptation for IHC Classification of Breast Cancer Subtypes.

IEEE/ACM transactions on computational biology and bioinformatics Oct 24, 2018
Increasingly, multiple parallel omics datasets are collected from biological samples. Integrating these datasets for classification is an open area of research. Additionally, whilst multiple datasets may be available for the training samples, future ...
Humans Machine Learning Algorithms Immunohistochemistry Female Breast Neoplasms Transcriptome Computational Biology
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A Machine Learning Framework for Automatic and Continuous MMN Detection With Preliminary Results for Coma Outcome Prediction.

IEEE journal of biomedical and health informatics Oct 24, 2018
Mismatch negativity (MMN) is a component of the event-related potential (ERP) that is elicited through an odd-ball paradigm. The existence of the MMN in a coma patient has a good correlation with coma emergence; however, this component can be difficu...
Coma Electroencephalography Signal Processing, Computer-Assisted Humans Evoked Potentials, Auditory Machine Learning Prognosis Young Adult Adult Male
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JOURNAL CLUB: Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical Information.

AJR. American journal of roentgenology Oct 24, 2018
OBJECTIVE: When treatment decisions are being made for patients with acute ischemic stroke, timely and accurate outcome prediction plays an important role. The optimal rehabilitation strategy also relies on long-term outcome predictions. The decision...
Tomography, X-Ray Computed Female Male Middle Aged Biomarkers Prognosis Retrospective Studies Computed Tomography Angiography Demography Decision Trees Predictive Value of Tests Stroke Brain Ischemia Humans Machine Learning Algorithms
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Machine learning for intraoperative prediction of viability in ischemic small intestine.

Physiological measurement Oct 24, 2018
OBJECTIVE: Evaluation of intestinal viability is essential in surgical decision-making in patients with acute intestinal ischemia. There has been no substantial change in the mortality rate (30%-93%) of patients with acute mesenteric ischemia (AMI) s...
Prognosis Clinical Decision-Making Female Animals Machine Learning Ischemia Jejunum Intestinal Diseases Male Sus scrofa Monitoring, Intraoperative Image Interpretation, Computer-Assisted Electric Impedance
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Magnetocardiography-Based Ischemic Heart Disease Detection and Localization Using Machine Learning Methods.

IEEE transactions on bio-medical engineering Oct 23, 2018
OBJECTIVE: This study focused on developing a fast and accurate automatic ischemic heart disease detection/localization methodology.
Coronary Stenosis Signal Processing, Computer-Assisted Heart Humans Myocardial Ischemia Machine Learning Magnetocardiography Male Adult Diagnosis, Computer-Assisted Support Vector Machine
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How far have decision tree models come for data mining in drug discovery?

Expert opinion on drug discovery Oct 23, 2018
Humans Machine Learning Data Mining Molecular Docking Simulation Drug Discovery Decision Trees
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Iterative quality enhancement via residual-artifact learning networks for low-dose CT.

Physics in medicine and biology Oct 23, 2018
Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans have been major clinical concerns. The radiation exposure can be reduced effectively via lowering the x-ray tube current (mA). However, this strategy ...
Algorithms Tomography, X-Ray Computed Radionuclide Imaging Radiographic Image Interpretation, Computer-Assisted Radiation Exposure Artifacts Brain Diseases Radiation Dosage Plaque, Atherosclerotic Humans Neural Networks, Computer Machine Learning
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