AIMC Journal:
Computer methods and programs in biomedicine

Showing 671 to 680 of 863 articles

Effect of incremental feature enrichment on healthcare text classification system: A machine learning paradigm.

Computer methods and programs in biomedicine Feb 1, 2019
BACKGROUND AND OBJECTIVE: Healthcare tweets are particularly challenging due to its sparse layout and its limited character size. Compared to previous method based on "bag of words" (BOW) model, this study uniquely identifies the enrichment protocol ...
Machine Learning Algorithms Social Media Datasets as Topic Information Storage and Retrieval Semantics Delivery of Health Care Models, Theoretical Support Vector Machine
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An automated data verification approach for improving data quality in a clinical registry.

Computer methods and programs in biomedicine Jan 31, 2019
BACKGROUND AND OBJECTIVE: The quality of data is crucial for clinical registry studies as it impacts credibility. In the regular practice of most such studies, a vulnerability arises from researchers recording data on paper-based case report forms (C...
Data Accuracy Information Storage and Retrieval Medical Informatics Registries Coronary Artery Disease Programming Languages Automation Pattern Recognition, Automated Databases, Factual Electronic Health Records Language Reproducibility of Results Regression Analysis Natural Language Processing Humans Machine Learning Algorithms
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Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks.

Computer methods and programs in biomedicine Jan 15, 2019
BACKGROUND AND OBJECTIVE: The spinal cord is a very important organ that must be protected in treatments of radiotherapy (RT), considered an organ at risk (OAR). Excess rays associated with the spinal cord can cause irreversible diseases in patients ...
Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Quality of Health Care Spinal Cord Spinal Cord Injuries
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Semi-supervised encoding for outlier detection in clinical observation data.

Computer methods and programs in biomedicine Jan 12, 2019
BACKGROUND AND OBJECTIVE: Electronic Health Record (EHR) data often include observation records that are unlikely to represent the "truth" about a patient at a given clinical encounter. Due to their high throughput, examples of such implausible obser...
Medical Informatics Data Interpretation, Statistical Registries Data Collection Electronic Health Records Female Reproducibility of Results Male Humans ROC Curve Neural Networks, Computer Models, Statistical Algorithms
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Prediction of fatty liver disease using machine learning algorithms.

Computer methods and programs in biomedicine Dec 29, 2018
BACKGROUND AND OBJECTIVE: Fatty liver disease (FLD) is a common clinical complication; it is associated with high morbidity and mortality. However, an early prediction of FLD patients provides an opportunity to make an appropriate strategy for preven...
Fatty Liver Female Taiwan Aged Early Diagnosis Adult Algorithms Male Forecasting Middle Aged Electronic Health Records ROC Curve Humans Neural Networks, Computer Machine Learning
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A propagation-DNN: Deep combination learning of multi-level features for MR prostate segmentation.

Computer methods and programs in biomedicine Dec 29, 2018
BACKGROUND AND OBJECTIVE: Prostate segmentation on Magnetic Resonance (MR) imaging is problematic because disease changes the shape and boundaries of the gland and it can be difficult to separate the prostate from surrounding tissues. We propose an a...
Magnetic Resonance Imaging Prostate Algorithms Male Deep Learning Humans Neural Networks, Computer
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Geometrical features for premature ventricular contraction recognition with analytic hierarchy process based machine learning algorithms selection.

Computer methods and programs in biomedicine Dec 27, 2018
BACKGROUND AND OBJECTIVE: Premature ventricular contraction is associated to the risk of coronary heart disease, and its diagnosis depends on a long time heart monitoring. For this purpose, monitoring through Holter devices is often used and computat...
Machine Learning Algorithms Wavelet Analysis Diagnosis, Computer-Assisted Electrocardiography Humans Signal-To-Noise Ratio Neural Networks, Computer Ventricular Premature Complexes
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Prediction of sepsis patients using machine learning approach: A meta-analysis.

Computer methods and programs in biomedicine Dec 26, 2018
STUDY OBJECTIVE: Sepsis is a common and major health crisis in hospitals globally. An innovative and feasible tool for predicting sepsis remains elusive. However, early and accurate prediction of sepsis could help physicians with proper treatments an...
Humans Forecasting Machine Learning Sepsis Algorithms Area Under Curve
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Automatic quantification of the LV function and mass: A deep learning approach for cardiovascular MRI.

Computer methods and programs in biomedicine Dec 12, 2018
OBJECTIVE: This paper proposes a novel approach for automatic left ventricle (LV) quantification using convolutional neural networks (CNN).
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Algorithms Ventricular Function, Left Humans
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Computer Aided Diagnosis System for multiple sclerosis disease based on phase to amplitude coupling in covert visual attention.

Computer methods and programs in biomedicine Nov 24, 2018
BACKGROUND AND OBJECTIVE: Computer Aided Diagnosis (CAD) techniques have widely been used in research to detect the neurological abnormalities and improve the consistency of diagnosis and treatment in medicine. In this study, a new CAD system based o...
Early Diagnosis Electroencephalography Signal Processing, Computer-Assisted Multiple Sclerosis Humans Machine Learning Diagnosis, Computer-Assisted
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