AIMC Topic: Humans

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Advancing System Performance with Redundancy: From Biological to Artificial Designs.

Neural computation Jan 15, 2019
Redundancy is a fundamental characteristic of many biological processes such as those in the genetic, visual, muscular, and nervous systems, yet its driven mechanism has not been fully comprehended. Until recently, the only understanding of redundanc...
Musculoskeletal Physiological Phenomena Humans Models, Biological Biomimetics Neural Networks, Computer
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Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error.

Systematic reviews Jan 15, 2019
BACKGROUND: Here, we outline a method of applying existing machine learning (ML) approaches to aid citation screening in an on-going broad and shallow systematic review of preclinical animal studies. The aim is to achieve a high-performing algorithm ...
Humans Bibliometrics Machine Learning Sensitivity and Specificity Systematic Reviews as Topic Models, Animal Animals Algorithms Workload Depressive Disorder
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Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers.

Scientific reports Jan 15, 2019
There is an association between smoking and cancer, cardiovascular disease and all-cause mortality. However, currently, there are no affordable and informative tests for assessing the effects of smoking on the rate of biological aging. In this study ...
Artificial Intelligence Risk Factors Middle Aged Humans Age Factors Supervised Machine Learning Sex Factors Deep Learning Aging, Premature Smoking Smokers Blood Chemical Analysis Blood Cell Count
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Detecting and interpreting myocardial infarction using fully convolutional neural networks.

Physiological measurement Jan 15, 2019
OBJECTIVE: We aim to provide an algorithm for the detection of myocardial infarction that operates directly on ECG data without any preprocessing and to investigate its decision criteria.
Female Adult Male Humans Neural Networks, Computer Signal Processing, Computer-Assisted Middle Aged Benchmarking Electrocardiography Myocardial Infarction
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Exercise-Associated Hyponatremia.

Frontiers of hormone research Jan 15, 2019
Exercise-associated hyponatremia (EAH) refers to below-normal serum sodium concentrations [Na+] that develop during exercise. The pathogenesis of EAH is best described as a spectrum ranging between profound polydipsia to modest sweat sodium losses wi...
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Brain Diseases Humans Hyponatremia Exercise
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Thyroid Diagnosis from SPECT Images Using Convolutional Neural Network with Optimization.

Computational intelligence and neuroscience Jan 15, 2019
Thyroid disease has now become the second largest disease in the endocrine field; SPECT imaging is particularly important for the clinical diagnosis of thyroid diseases. However, there is little research on the application of SPECT images in the comp...
Humans Neural Networks, Computer Thyroid Gland Tomography, Emission-Computed, Single-Photon Machine Learning Algorithms Diagnosis, Computer-Assisted
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The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data.

PloS one Jan 15, 2019
Recent years have seen a surge of studies in machine learning in health and biomedicine, driven by digitalization of healthcare environments and increasingly accessible computer systems for conducting analyses. Many of us believe that these developme...
Delivery of Health Care Biomedical Research Information Dissemination Peer Review, Research Humans Machine Learning Algorithms
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Clustering algorithms: A comparative approach.

PloS one Jan 15, 2019
Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (and understanding) of machine learning methods in practical applications becomes essential. While many classification methods have been proposed, there ...
Humans Language Machine Learning Algorithms Cluster Analysis Normal Distribution
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Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia.

PloS one Jan 15, 2019
Dementia is a neurological and cognitive condition that affects millions of people around the world. At any given time in the United Kingdom, 1 in 4 hospital beds are occupied by a person with dementia, while about 22% of these hospital admissions ar...
United Kingdom Dementia Urinary Tract Infections Activities of Daily Living Male Middle Aged Humans Machine Learning Hospitalization Aged Female
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LCR-Net++: Multi-Person 2D and 3D Pose Detection in Natural Images.

IEEE transactions on pattern analysis and machine intelligence Jan 14, 2019
We propose an end-to-end architecture for joint 2D and 3D human pose estimation in natural images. Key to our approach is the generation and scoring of a number of pose proposals per image, which allows us to predict 2D and 3D poses of multiple peopl...
Neural Networks, Computer Databases, Factual Posture Imaging, Three-Dimensional Humans Video Recording
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