AIMC Topic:
Databases, Factual

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Intelligent Analysis of Premature Ventricular Contraction Based on Features and Random Forest.

Journal of healthcare engineering Oct 7, 2019
Premature ventricular contraction (PVC) is one of the most common arrhythmias in the clinic. Due to its variability and susceptibility, patients may be at risk at any time. The rapid and accurate classification of PVC is of great significance for the...
Electrocardiography Humans Decision Trees Machine Learning Signal Processing, Computer-Assisted Algorithms Ventricular Premature Complexes Databases, Factual
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Prediction of thirty-day morbidity and mortality after laparoscopic sleeve gastrectomy: data from an artificial neural network.

Surgical endoscopy Sep 30, 2019
BACKGROUND: Multiple patient factors may convey increased risk of 30-day morbidity and mortality after laparoscopic vertical sleeve gastrectomy (LVSG). Assessing the likelihood of short-term morbidity is useful for both the bariatric surgeon and pati...
Cohort Studies Computational Biology Obesity Laparoscopy Gastrectomy Morbidity Patient Readmission Databases, Factual Reoperation Humans Female Neural Networks, Computer Adult Male Middle Aged
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Retinal vascular junction detection and classification via deep neural networks.

Computer methods and programs in biomedicine Sep 27, 2019
BACKGROUND AND OBJECTIVES: The retinal fundus contains intricate vascular trees, some of which are mutually intersected and overlapped. The intersection and overlapping of retinal vessels represent vascular junctions (i.e. bifurcation and crossover) ...
Anisotropy Retinal Vessels Neural Networks, Computer Humans Algorithms Diagnosis, Computer-Assisted Databases, Factual Image Processing, Computer-Assisted Reproducibility of Results Color Fundus Oculi Retina
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Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.

Computer methods and programs in biomedicine Sep 27, 2019
BACKGROUND AND OBJECTIVE: In recent years, several automatic sleep stage classification methods based on convolutional neural networks (CNN) by learning hierarchical feature representation automatically from raw EEG data have been proposed. However, ...
Sleep Wake Disorders Sleep Stages Sensitivity and Specificity Humans Signal Processing, Computer-Assisted Male Machine Learning Neural Networks, Computer Time Factors Sleep Apnea, Obstructive Algorithms Electrocardiography Sleep Databases, Factual Electroencephalography Calibration Reproducibility of Results Polysomnography Adult
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Phasic dopamine release identification using convolutional neural network.

Computers in biology and medicine Sep 25, 2019
Dopamine has a major behavioral impact related to drug dependence, learning and memory functions, as well as pathologies such as schizophrenia and Parkinson's disease. Phasic release of dopamine can be measured in vivo with fast-scan cyclic voltammet...
Rats, Sprague-Dawley Electrochemical Techniques Dopamine Electrodes, Implanted Brain Humans Animals Neural Networks, Computer Male Databases, Factual Mice Rats
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Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography: Machine Learning for Patient Safety.

JACC. Cardiovascular interventions Sep 25, 2019
OBJECTIVES: This study developed a neural network to perform automated pressure waveform analysis and allow real-time accurate identification of damping.
Male Middle Aged Europe Predictive Value of Tests Coronary Angiography Female Reproducibility of Results Risk Factors Aged Aorta Cardiac Catheterization Coronary Artery Disease Heart Rate Artifacts Observer Variation Arterial Pressure Humans Neural Networks, Computer Machine Learning Patient Safety Databases, Factual
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Multi-Objective Optimization for Personalized Prediction of Venous Thromboembolism in Ovarian Cancer Patients.

IEEE journal of biomedical and health informatics Sep 24, 2019
Thrombotic events are one of the leading causes of mortality and morbidity related to cancer, with ovarian cancer having one of the highest incidence rates. The need to prevent these events through the prescription of adequate schemes of antithrombot...
Humans Machine Learning Algorithms Models, Statistical Ovarian Neoplasms Databases, Factual Aged Venous Thromboembolism Biomarkers Aged, 80 and over Precision Medicine Adult Female Middle Aged Risk Assessment
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Machine Learning-Enabled Automated Determination of Acute Ischemic Core From Computed Tomography Angiography.

Stroke Sep 24, 2019
Background and Purpose- The availability of and expertise to interpret advanced neuroimaging recommended in the guideline-based endovascular stroke therapy (EST) evaluation are limited. Here, we develop and validate an automated machine learning-base...
Deep Learning Acute Disease Registries Stroke Brain Ischemia Aged Male Middle Aged Neuroimaging Diagnosis, Computer-Assisted Computed Tomography Angiography Neural Networks, Computer Humans Databases, Factual Prospective Studies Electronic Health Records Female
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Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification.

IEEE journal of biomedical and health informatics Sep 23, 2019
Deep learning has been used to analyze and diagnose various skin diseases through medical imaging. However, recent researches show that a well-trained deep learning model may not generalize well to data from different cohorts due to domain shift. Sim...
Melanoma Deep Learning Skin Skin Diseases Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Databases, Factual
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Machine learning based risk prediction model for asymptomatic individuals who underwent coronary artery calcium score: Comparison with traditional risk prediction approaches.

Journal of cardiovascular computed tomography Sep 23, 2019
BACKGROUND: Machine learning (ML) is a computer algorithm used to identify patterns for prediction in various tasks, and ML methods have been beneficial for developing prediction models when applied to heterogeneous and large datasets. We aim to exam...
Humans Asymptomatic Diseases Male Middle Aged Risk Assessment Time Factors Retrospective Studies Machine Learning Predictive Value of Tests Health Status Republic of Korea Decision Support Techniques Coronary Angiography Female Databases, Factual Registries Prognosis Risk Factors Coronary Artery Disease Adult Vascular Calcification
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