AIMC Topic: Humans

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SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes.

BMC bioinformatics Nov 6, 2018
BACKGROUND: Despite a wide adoption of English in science, a significant amount of biomedical data are produced in other languages, such as French. Yet a majority of natural language processing or semantic tools as well as domain terminologies or ont...
Humans Data Analysis Gene Expression Profiling Natural Language Processing Health Records, Personal Information Storage and Retrieval Medical Informatics Semantics Biological Ontologies Abstracting and Indexing MEDLINE France
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Sleeping posture recognition using fuzzy c-means algorithm.

Biomedical engineering online Nov 6, 2018
BACKGROUND: Pressure sensors have been used for sleeping posture detection, which meet privacy requirements. Most of the existing techniques for sleeping posture recognition used force-sensitive resistor (FSR) sensors. However, lower limbs cannot be ...
(2)
Signal Processing, Computer-Assisted Sleep Humans Monitoring, Ambulatory Fuzzy Logic Pressure Cluster Analysis Posture
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Artificial Intelligence in Radiology: Current Technology and Future Directions.

Seminars in musculoskeletal radiology Nov 6, 2018
Artificial intelligence (AI) has been heralded as the next big wave in the computing revolution and touted as a transformative technology for many industries including health care. In radiology, considerable excitement and anxiety are associated with...
Humans Artificial Intelligence Big Data Radiology Workflow Appointments and Schedules Image Interpretation, Computer-Assisted
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Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study.

PLoS medicine Nov 6, 2018
BACKGROUND: There is interest in using convolutional neural networks (CNNs) to analyze medical imaging to provide computer-aided diagnosis (CAD). Recent work has suggested that image classification CNNs may not generalize to new data as well as previ...
(1)
Radiographic Image Interpretation, Computer-Assisted Radiology Information Systems Radiography, Thoracic Male Middle Aged Diagnosis, Computer-Assisted Deep Learning United States Pneumonia Predictive Value of Tests Reproducibility of Results Aged Adult Cross-Sectional Studies Humans Retrospective Studies Female
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Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.

PLoS medicine Nov 6, 2018
BACKGROUND: Electronic medical records provide large-scale real-world clinical data for use in developing clinical decision systems. However, sophisticated methodology and analytical skills are required to handle the large-scale datasets necessary fo...
Humans Machine Learning Prognosis Retrospective Studies Young Adult Male Disease Progression Refraction, Ocular Electronic Health Records Female Reproducibility of Results Predictive Value of Tests Data Mining Adolescent Time Factors Child Age Factors Myopia Diagnosis, Computer-Assisted China
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Machine learning in medicine: Addressing ethical challenges.

PLoS medicine Nov 6, 2018
Effy Vayena and colleagues argue that machine learning in medicine must offer data protection, algorithmic transparency, and accountability to earn the trust of patients and clinicians.
Computer Security Medical Records Public Opinion Attitude to Computers Attitude of Health Personnel Confidentiality Data Mining Machine Learning Humans Delivery of Health Care Self Care Trust
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Visual attention mechanism and support vector machine based automatic image annotation.

PloS one Nov 6, 2018
Automatic image annotation not only has the efficiency of text-based image retrieval but also achieves the accuracy of content-based image retrieval. Users of annotated images can locate images they want to search by providing keywords. Currently mos...
Image Interpretation, Computer-Assisted Visual Perception Image Processing, Computer-Assisted Humans Models, Theoretical Support Vector Machine Algorithms Attention Databases, Factual
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Keratoconus severity identification using unsupervised machine learning.

PloS one Nov 6, 2018
We developed an unsupervised machine learning algorithm and applied it to big corneal parameters to identify and monitor keratoconus stages. A big dataset of corneal swept source optical coherence tomography (OCT) images of 12,242 eyes acquired from ...
Unsupervised Machine Learning Principal Component Analysis Keratoconus Cornea Male Severity of Illness Index Algorithms Humans Female Aged Dilatation, Pathologic
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Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis.

IEEE/ACM transactions on computational biology and bioinformatics Nov 5, 2018
Epistasis learning, which is aimed at detecting associations between multiple Single Nucleotide Polymorphisms (SNPs) and complex diseases, has gained increasing attention in genome wide association studies. Although much work has been done on mapping...
Humans Macular Degeneration Epistasis, Genetic Computer Heuristics Algorithms Genome-Wide Association Study Computational Biology
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Using Unlabeled Data to Discover Bivariate Causality with Deep Restricted Boltzmann Machines.

IEEE/ACM transactions on computational biology and bioinformatics Nov 5, 2018
An important question in microbiology is whether treatment causes changes in gut flora, and whether it also affects metabolism. The reconstruction of causal relations purely from non-temporal observational data is challenging. We address the problem ...
Metformin Metagenome Databases, Genetic Causality Models, Statistical Supervised Machine Learning Neural Networks, Computer Computational Biology Gastrointestinal Microbiome Humans
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