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Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

Upsala journal of medical sciences Jul 22, 2020
BACKGROUND: The electronic medical record (EMR) offers unique possibilities for clinical research, but some important patient attributes are not readily available due to its unstructured properties. We applied text mining using machine learning to en...
Machine Learning Humans Software False Positive Reactions Medical Informatics Algorithms Tobacco Use Disorder Research Design Automation Natural Language Processing Sweden Electronic Health Records Pattern Recognition, Automated Bayes Theorem Reproducibility of Results ROC Curve Smoking Data Mining Support Vector Machine Observer Variation
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Cross-species regulatory sequence activity prediction.

PLoS computational biology Jul 20, 2020
Machine learning algorithms trained to predict the regulatory activity of nucleic acid sequences have revealed principles of gene regulation and guided genetic variation analysis. While the human genome has been extensively annotated and studied, mod...
Hepatocytes Genetic Variation Gene Expression Regulation Genome, Human Species Specificity Machine Learning Quantitative Trait Loci Software Databases, Genetic Sequence Analysis, DNA Algorithms Models, Statistical Genomics Animals Mutation Computational Biology Humans Mice Epigenomics Models, Genetic Neural Networks, Computer
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A novel riboswitch classification based on imbalanced sequences achieved by machine learning.

PLoS computational biology Jul 20, 2020
Riboswitch, a part of regulatory mRNA (50-250nt in length), has two main classes: aptamer and expression platform. One of the main challenges raised during the classification of riboswitch is imbalanced data. That is a circumstance in which the recor...
Machine Learning Software Algorithms Computational Biology Sequence Analysis, RNA Riboswitch
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Designing a Cyber-Physical System for Ambient Assisted Living: A Use-Case Analysis for Social Robot Navigation in Caregiving Centers.

Sensors (Basel, Switzerland) Jul 18, 2020
The advances of the Internet of Things, robotics, and Artificial Intelligence, to give just a few examples, allow us to imagine promising results in the development of smart buildings in the near future. In the particular case of elderly care, there ...
Robotics Humans Assisted Living Facilities Artificial Intelligence Ambient Intelligence Software Aged
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Automatic CT image segmentation of maxillary sinus based on VGG network and improved V-Net.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: The analysis of the maxillary sinus (MS) can provide an assessment for many clinical diagnoses, so accurate CT image segmentation of the MS is essential. However, common segmentation methods are mainly done by experienced doctors manually, a...
False Positive Reactions Maxillary Sinus Imaging, Three-Dimensional Image Processing, Computer-Assisted Models, Statistical Pattern Recognition, Automated Algorithms Tomography, X-Ray Computed Reproducibility of Results Diagnosis, Computer-Assisted Humans Neural Networks, Computer Software
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Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.

International journal of computer assisted radiology and surgery Jul 16, 2020
PURPOSE: Management of vestibular schwannoma (VS) is based on tumour size as observed on T1 MRI scans with contrast agent injection. The current clinical practice is to measure the diameter of the tumour in its largest dimension. It has been shown th...
Neuroimaging Neurilemmoma Neuroma, Acoustic Contrast Media Magnetic Resonance Imaging Automation Pattern Recognition, Automated Reproducibility of Results Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Software Algorithms Humans Machine Learning
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Exploiting defective RRAM array as synapses of HTM spatial pooler with boost-factor adjustment scheme for defect-tolerant neuromorphic systems.

Scientific reports Jul 16, 2020
A crossbar array architecture employing resistive switching memory (RRAM) as a synaptic element accelerates vector-matrix multiplication in a parallel fashion, enabling energy-efficient pattern recognition. To implement the function of the synapse in...
Data Accuracy Neural Networks, Computer Synapses Software Transistors, Electronic Memory Algorithms Pattern Recognition, Automated Neocortex Computer Simulation Humans Data Management
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Structural compliance: A new metric for protein flexibility.

Proteins Jul 14, 2020
Proteins are the active players in performing essential molecular activities throughout biology, and their dynamics has been broadly demonstrated to relate to their mechanisms. The intrinsic fluctuations have often been used to represent their dynami...
Humans Neural Networks, Computer Molecular Dynamics Simulation Fungal Proteins Elasticity Lectins Software Complement C8 Biomechanical Phenomena Internet Agaricales
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Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software.

European journal of nuclear medicine and molecular imaging Jul 14, 2020
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) is an emerging worldwide threat to public health. While chest computed tomography (CT) plays an indispensable role in its diagnosis, the quantification and localization of lesions cannot be ac...
Humans Female SARS-CoV-2 Aged Aged, 80 and over Young Adult Software Pandemics COVID-19 Retrospective Studies Coronavirus Infections COVID-19 Testing Linear Models Multidetector Computed Tomography Pneumonia, Viral Deep Learning Adolescent Clinical Laboratory Techniques Child Betacoronavirus Reverse Transcriptase Polymerase Chain Reaction Adult Male Middle Aged Lung
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Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies.

Laboratory investigation; a journal of technical methods and pathology Jul 13, 2020
Hepatic steatosis droplet quantification with histology biopsies has high clinical significance for risk stratification and management of patients with fatty liver diseases and in the decision to use donor livers for transplantation. However, patholo...
Biopsy Radiographic Image Interpretation, Computer-Assisted Image Interpretation, Computer-Assisted Algorithms Deep Learning Fatty Liver Liver Humans Software
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