AIMC Topic: Humans

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Statistical learning approaches in the genetic epidemiology of complex diseases.

Human genetics May 2, 2019
In this paper, we give an overview of methodological issues related to the use of statistical learning approaches when analyzing high-dimensional genetic data. The focus is set on regression models and machine learning algorithms taking genetic varia...
Artificial Intelligence Machine Learning Algorithms Humans Models, Statistical Molecular Epidemiology Disease
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Saliency From Growing Neural Gas: Learning Pre-Attentional Structures for a Flexible Attention System.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 2, 2019
Artificial visual attention has been an active research area for over two decades. Especially, the concept of saliency has been implemented in many different ways. Early approaches aimed at closely modeling saliency processing with concepts from biol...
Databases, Factual Image Processing, Computer-Assisted Attention Neural Networks, Computer Machine Learning Algorithms Humans
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Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society May 2, 2019
Data augmentation is a widely used technique for enhancing the generalization ability of deep neural networks for skeleton-based human action recognition (HAR) tasks. Most existing data augmentation methods generate new samples by means of handcrafte...
Human Activities Databases, Factual Image Processing, Computer-Assisted Video Recording Humans Neural Networks, Computer Algorithms
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Preoperative Prediction of Value Metrics and a Patient-Specific Payment Model for Primary Total Hip Arthroplasty: Development and Validation of a Deep Learning Model.

The Journal of arthroplasty May 2, 2019
BACKGROUND: The primary objective was to develop and test an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition for total hip arthroplasty. The secondary objective was to create...
Health Care Costs Female Osteoarthritis, Hip Arthroplasty, Replacement, Hip Deep Learning Reproducibility of Results Fees and Charges ROC Curve Preoperative Period Aged Length of Stay United States Social Class Cohort Studies Humans Aged, 80 and over Inpatients Male Databases, Factual Comorbidity
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Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model.

Magnetic resonance in medicine May 2, 2019
PURPOSE: We introduce and validate a scalable retrospective motion correction technique for brain imaging that incorporates a machine learning component into a model-based motion minimization.
Humans Magnetic Resonance Imaging Neural Networks, Computer Artifacts Brain Movement Computer Simulation Deep Learning Image Processing, Computer-Assisted
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BoSR: A CNN-based aurora image retrieval method.

Neural networks : the official journal of the International Neural Network Society May 2, 2019
The deep learning models especially the CNN have achieved amazing performance on natural image retrieval. However, remote sensing images captured with anamorphic lens are still retrieved via manual selection or traditional SIFT-based methods. How to ...
Humans Neural Networks, Computer Deep Learning Information Storage and Retrieval Pattern Recognition, Automated
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Detecting depression using a framework combining deep multimodal neural networks with a purpose-built automated evaluation.

Psychological assessment May 2, 2019
Machine learning (ML) has been introduced into the medical field as a means to provide diagnostic tools capable of enhancing accuracy and precision while minimizing laborious tasks that require human intervention. There is mounting evidence that the ...
Surveys and Questionnaires Adolescent Depressive Disorder Young Adult Adult Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Humans Neural Networks, Computer Female
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A review of automated sleep stage scoring based on physiological signals for the new millennia.

Computer methods and programs in biomedicine May 2, 2019
BACKGROUND AND OBJECTIVE: Sleep is an important part of our life. That importance is highlighted by the multitude of health problems which result from sleep disorders. Detecting these sleep disorders requires an accurate interpretation of physiologic...
Internet Heart Rate Medical Informatics Sleep Stages Normal Distribution Electrocardiography Polysomnography Electroencephalography Electrooculography Humans Signal Processing, Computer-Assisted Algorithms Deep Learning
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Analysis of Expression Pattern of snoRNAs in Different Cancer Types with Machine Learning Algorithms.

International journal of molecular sciences May 2, 2019
Small nucleolar RNAs (snoRNAs) are a new type of functional small RNAs involved in the chemical modifications of rRNAs, tRNAs, and small nuclear RNAs. It is reported that they play important roles in tumorigenesis via various regulatory modes. snoRNA...
Algorithms Neoplasms Gene Expression Regulation, Neoplastic Support Vector Machine Monte Carlo Method RNA, Small Nucleolar Humans Machine Learning
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Exploring the Potential of Spherical Harmonics and PCVM for Compounds Activity Prediction.

International journal of molecular sciences May 2, 2019
Biologically active chemical compounds may provide remedies for several diseases. Meanwhile, Machine Learning techniques applied to Drug Discovery, which are cheaper and faster than wet-lab experiments, have the capability to more effectively identif...
Animals Drug Discovery Support Vector Machine Humans Machine Learning Algorithms Databases, Protein Receptors, G-Protein-Coupled
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