Humans

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Prediction of Apoptosis Protein's Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information.

Acta biotheoretica Mar 12, 2018
The apoptosis protein has a central role in the development and the homeostasis of an organism. Obtaining information about the subcellular localization of apoptosis protein is very helpful to understand the apoptosis mechanism and the function of th...
Humans Algorithms Computational Biology Databases, Protein Apoptosis Regulatory Proteins Biological Evolution Models, Theoretical Support Vector Machine Apoptosis Position-Specific Scoring Matrices Subcellular Fractions
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Jointly learning word embeddings using a corpus and a knowledge base.

PloS one Mar 12, 2018
Methods for representing the meaning of words in vector spaces purely using the information distributed in text corpora have proved to be very valuable in various text mining and natural language processing (NLP) tasks. However, these methods still d...
Data Mining Humans Learning Semantics Algorithms Natural Language Processing Knowledge Bases
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Robust Machine Learning Variable Importance Analyses of Medical Conditions for Health Care Spending.

Health services research Mar 11, 2018
OBJECTIVE: To propose nonparametric double robust machine learning in variable importance analyses of medical conditions for health spending.
Male United States Chronic Disease Health Expenditures Risk Adjustment Machine Learning Demography Databases, Factual Female Humans
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Rest tremor quantification based on fuzzy inference systems and wearable sensors.

International journal of medical informatics Mar 11, 2018
BACKGROUND: Currently the most consistent, widely accepted and detailed instrument to rate Parkinson's disease (PD) is the Movement Disorder Society sponsored Unified Parkinson Disease Rating Scale (MDS-UPDRS). However, the motor examination is based...
(2)
Parkinson Disease Tremor Severity of Illness Index Wearable Electronic Devices Fuzzy Logic Humans Aged, 80 and over Machine Learning Male Female Middle Aged Aged
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Social Robotics in Therapy of Apraxia of Speech.

Journal of healthcare engineering Mar 11, 2018
Apraxia of speech is a motor speech disorder in which messages from the brain to the mouth are disrupted, resulting in an inability for moving lips or tongue to the right place to pronounce sounds correctly. Current therapies for this condition invol...
Speech Therapy Robotics Internet Humans Speech Mouth Movement Machine Learning User-Computer Interface Social Behavior Imaging, Three-Dimensional Apraxias
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ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms.

Journal of healthcare engineering Mar 11, 2018
We introduce an approach to predict deterioration of reaction state for people having neurological movement disorders such as hand tremors and nonvoluntary movements. These involuntary motor features are closely related to the symptoms occurring in p...
Algorithms Mobile Applications Fuzzy Logic Humans Huntington Disease Neural Networks, Computer Signal Processing, Computer-Assisted Fingers Task Performance and Analysis
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Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies.

Medical & biological engineering & computing Mar 10, 2018
Radiological longitudinal follow-up of tumors in CT scans is essential for disease assessment and liver tumor therapy. Currently, most tumor size measurements follow the RECIST guidelines, which can be off by as much as 50%. True volumetric measureme...
Tomography, X-Ray Computed Liver Neoplasms Follow-Up Studies Image Processing, Computer-Assisted Humans Automation Neural Networks, Computer Algorithms
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Using machine learning to disentangle homonyms in large text corpora.

Conservation biology : the journal of the Society for Conservation Biology Mar 10, 2018
Systematic reviews are an increasingly popular decision-making tool that provides an unbiased summary of evidence to support conservation action. These reviews bridge the gap between researchers and managers by presenting a comprehensive overview of ...
Machine Learning Research Personnel Conservation of Natural Resources Humans
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A deep learning approach for pose estimation from volumetric OCT data.

Medical image analysis Mar 10, 2018
Tracking the pose of instruments is a central problem in image-guided surgery. For microscopic scenarios, optical coherence tomography (OCT) is increasingly used as an imaging modality. OCT is suitable for accurate pose estimation due to its micromet...
(4)
Image Processing, Computer-Assisted Robotics Tomography, Optical Coherence Humans Algorithms Deep Learning Imaging, Three-Dimensional
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Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors.

Epidemiology and health Mar 10, 2018
OBJECTIVES: To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model.
Diabetes Mellitus, Type 2 Mass Screening Models, Statistical Glycated Hemoglobin Iran Waist Circumference Male Middle Aged Risk Assessment Humans Female Neural Networks, Computer Risk Factors Adult Age Distribution
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