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Showing 69031 to 69040 of 95995 articles
Model-Based Feature Augmentation for Cardiac Ablation Target Learning From Images.
IEEE transactions on bio-medical engineering
Mar 22, 2018
GOAL: We present a model-based feature augmentation scheme to improve the performance of a learning algorithm for the detection of cardiac radio-frequency ablation (RFA) targets with respect to learning from images alone.
Predicting biathlon shooting performance using machine learning.
Journal of sports sciences
Mar 22, 2018
Shooting in biathlon competitions substantially influences final rankings, but the predictability of hits and misses is unknown. The aims of the current study were A) to explore factors influencing biathlon shooting performance and B) to predict futu...
Determining Anxiety in Obsessive Compulsive Disorder through Behavioural Clustering and Variations in Repetition Intensity.
Computer methods and programs in biomedicine
Mar 22, 2018
BACKGROUND AND OBJECTIVES: Over the last decade, the application of computer vision techniques to the analysis of behavioural patterns has seen a considerable increase in research interest. One such interesting and recent application is the visual be...
Can we accelerate medicinal chemistry by augmenting the chemist with Big Data and artificial intelligence?
Drug discovery today
Mar 22, 2018
AI comes to lead optimization: medicinal chemistry in all disease areas can be accelerated by exploiting our pre-competitive knowledge in an unbiased way.
A novel feature extraction technique for pulmonary sound analysis based on EMD.
Computer methods and programs in biomedicine
Mar 22, 2018
BACKGROUND AND OBJECTIVE: The stethoscope based auscultation technique is a primary diagnostic tool for chest sound analysis. However, the performance of this method is limited due to its dependency on physicians experience, knowledge and also clarit...
An ensemble learning system for a 4-way classification of Alzheimer's disease and mild cognitive impairment.
Journal of neuroscience methods
Mar 22, 2018
Discriminating Alzheimer's disease (AD) from its prodromal form, mild cognitive impairment (MCI), is a significant clinical problem that may facilitate early diagnosis and intervention, in which a more challenging issue is to classify MCI subtypes, i...
3D Deep Learning Angiography (3D-DLA) from C-arm Conebeam CT.
AJNR. American journal of neuroradiology
Mar 22, 2018
BACKGROUND AND PURPOSE: Deep learning is a branch of artificial intelligence that has demonstrated unprecedented performance in many medical imaging applications. Our purpose was to develop a deep learning angiography method to generate 3D cerebral a...
Leveraging text skeleton for de-identification of electronic medical records.
BMC medical informatics and decision making
Mar 22, 2018
BACKGROUND: De-identification is the first step to use these records for data processing or further medical investigations in electronic medical records. Consequently, a reliable automated de-identification system would be of high value.
A bibliometric analysis of natural language processing in medical research.
BMC medical informatics and decision making
Mar 22, 2018
BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great significance ...
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Causal risk factor discovery for severe acute kidney injury using electronic health records.
BMC medical informatics and decision making
Mar 22, 2018
BACKGROUND: Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a common clinical event among hospitalized patients and it is associated with high morbidity and mortality. AKI is defined in three stages with stage-3...
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