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Showing 69391 to 69400 of 95995 articles
A novel expert system for objective masticatory efficiency assessment.
PloS one
Jan 31, 2018
Most of the tools and diagnosis models of Masticatory Efficiency (ME) are not well documented or severely limited to simple image processing approaches. This study presents a novel expert system for ME assessment based on automatic recognition of mix...
Functional Categorization of Disease Genes Based on Spectral Graph Theory and Integrated Biological Knowledge.
Interdisciplinary sciences, computational life sciences
Jan 30, 2018
Interaction of multiple genetic variants is a major challenge in the development of effective treatment strategies for complex disorders. Identifying the most promising genes enhances the understanding of the underlying mechanisms of the disease, whi...
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Spatial-Temporal Recurrent Neural Network for Emotion Recognition.
IEEE transactions on cybernetics
Jan 30, 2018
In this paper, we propose a novel deep learning framework, called spatial-temporal recurrent neural network (STRNN), to integrate the feature learning from both spatial and temporal information of signal sources into a unified spatial-temporal depend...
Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks.
IEEE transactions on pattern analysis and machine intelligence
Jan 30, 2018
Human footsteps can provide a unique behavioural pattern for robust biometric systems. We propose spatio-temporal footstep representations from floor-only sensor data in advanced computational models for automatic biometric verification. Our models d...
Providing Healthcare-as-a-Service Using Fuzzy Rule Based Big Data Analytics in Cloud Computing.
IEEE journal of biomedical and health informatics
Jan 30, 2018
With advancements in information and communication technology, there is a steep increase in the remote healthcare applications in which patients can get treatment from the remote places also. The data collected about the patients by remote healthcare...
Development and Validation of Machine Learning Models for Prediction of 1-Year Mortality Utilizing Electronic Medical Record Data Available at the End of Hospitalization in Multicondition Patients: a Proof-of-Concept Study.
Journal of general internal medicine
Jan 30, 2018
BACKGROUND: Predicting death in a cohort of clinically diverse, multicondition hospitalized patients is difficult. Prognostic models that use electronic medical record (EMR) data to determine 1-year death risk can improve end-of-life planning and ris...
Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports.
Radiology
Jan 30, 2018
Purpose To compare different methods for generating features from radiology reports and to develop a method to automatically identify findings in these reports. Materials and Methods In this study, 96 303 head computed tomography (CT) reports were ob...
Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning.
Journal of medical Internet research
Jan 30, 2018
BACKGROUND: As a high-prevalence health condition, hypertension is clinically costly, difficult to manage, and often leads to severe and life-threatening diseases such as cardiovascular disease (CVD) and stroke.
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Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm.
Physics in medicine and biology
Jan 30, 2018
In order to automatically identify a set of effective mammographic image features and build an optimal breast cancer risk stratification model, this study aims to investigate advantages of applying a machine learning approach embedded with a locally ...
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Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms.
Computational and mathematical methods in medicine
Jan 30, 2018
We propose a novel method that predicts binding of G-protein coupled receptors (GPCRs) and ligands. The proposed method uses hub and cycle structures of ligands and amino acid motif sequences of GPCRs, rather than the 3D structure of a receptor or si...
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