AIMC Topic: Humans
Showing 64701 to 64710 of 95995 articles
A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.
BMC medical informatics and decision making
May 10, 2019
BACKGROUND: Mobile health (MH) technologies including clinical decision support systems (CDSS) provide an efficient method for patient monitoring and treatment. A mobile CDSS is based on real-time sensor data and historical electronic health record (...
Recognition of 3'-end L1, Alu, processed pseudogenes, and mRNA stem-loops in the human genome using sequence-based and structure-based machine-learning models.
Scientific reports
May 10, 2019
The role of 3'-end stem-loops in retrotransposition was experimentally demonstrated for transposons of various species, where LINE-SINE retrotransposons share the same 3'-end sequences, containing a stem-loop. We have discovered that 62-68% of proces...
Effects of obesity on breast size, thoracic spine structure and function, upper torso musculoskeletal pain and physical activity in women.
Journal of sport and health science
May 9, 2019
PURPOSE: This study investigated the effects of obesity on breast size, thoracic spine structure and function, upper torso musculoskeletal pain and physical activity participation in women living independently in the community.
Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting.
IEEE transactions on bio-medical engineering
May 9, 2019
OBJECTIVE: This paper addresses two key problems of skin lesion classification. The first problem is the effective use of high-resolution images with pretrained standard architectures for image classification. The second problem is the high-class imb...
Putting machine learning into motion: applications in cardiovascular imaging.
Clinical radiology
May 9, 2019
Heart and circulatory diseases cause a quarter of all deaths in the UK and cardiac imaging offers an effective tool for early diagnosis and risk-stratification to improve premature death and disability. This domain of radiology is unique in that asse...
Tractography and machine learning: Current state and open challenges.
Magnetic resonance imaging
May 9, 2019
Supervised machine learning (ML) algorithms have recently been proposed as an alternative to traditional tractography methods in order to address some of their weaknesses. They can be path-based and local-model-free, and easily incorporate anatomical...
Redundant feature pruning for accelerated inference in deep neural networks.
Neural networks : the official journal of the International Neural Network Society
May 9, 2019
This paper presents an efficient technique to reduce the inference cost of deep and/or wide convolutional neural network models by pruning redundant features (or filters). Previous studies have shown that over-sized deep neural network models tend to...
How do "robopets" impact the health and well-being of residents in care homes? A systematic review of qualitative and quantitative evidence.
International journal of older people nursing
May 9, 2019
BACKGROUND: Robopets are small animal-like robots which have the appearance and behavioural characteristics of pets.
Endoscopic Surveillance of Barrett's Esophagus Using Volumetric Laser Endomicroscopy With Artificial Intelligence Image Enhancement.
Gastroenterology
May 9, 2019
Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy.
Journal of medical Internet research
May 9, 2019
BACKGROUND: Research in embodied artificial intelligence (AI) has increasing clinical relevance for therapeutic applications in mental health services. With innovations ranging from 'virtual psychotherapists' to social robots in dementia care and aut...
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