AIMC Topic: Humans
Showing 64711 to 64720 of 95995 articles
Perceptions of drones, digital adherence monitoring technologies and educational videos for tuberculosis control in remote Madagascar: a mixed-method study protocol.
BMJ open
May 9, 2019
INTRODUCTION: Poor road and communication infrastructure pose major challenges to tuberculosis (TB) control in many regions of the world. TB surveillance and patient support often fall to community health workers (CHWs) who may lack the time or knowl...
Detection of smoking status from retinal images; a Convolutional Neural Network study.
Scientific reports
May 9, 2019
Cardiovascular diseases are directly linked to smoking habits, which has both physiological and anatomical effects on the systemic and retinal circulations, and these changes can be detected with fundus photographs. Here, we aimed to 1- design a Conv...
Novel stochastic framework for automatic segmentation of human thigh MRI volumes and its applications in spinal cord injured individuals.
PloS one
May 9, 2019
Severe spinal cord injury (SCI) leads to skeletal muscle atrophy and adipose tissue infiltration in the skeletal muscle, which can result in compromised muscle mechanical output and lead to health-related complications. In this study, we developed a ...
Classifying intracranial stenosis disease severity from functional MRI data using machine learning.
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
May 8, 2019
Translation of many non-invasive hemodynamic MRI methods to cerebrovascular disease patients has been hampered by well-known artifacts associated with delayed blood arrival times and reduced microvascular compliance. Using machine learning and suppor...
Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists.
Gastrointestinal endoscopy
May 8, 2019
BACKGROUND AND AIMS: Cancer invasion depth is a critical factor affecting the choice of treatment in patients with superficial squamous cell carcinoma (SCC). However, the diagnosis of invasion depth is currently subjective and liable to interobserver...
The use of robots and other automated devices in nurses' work: An integrative review.
International journal of nursing practice
May 8, 2019
BACKGROUND: Future nursing shortages and advanced technological developments mean that robots and automated devices could play a valuable role in nursing, but little has been published on their use, and outcomes, to date.
A RR interval based automated apnea detection approach using residual network.
Computer methods and programs in biomedicine
May 8, 2019
BACKGROUND AND OBJECTIVE: Apnea is one of the most common conditions that causes sleep-disorder breathing. With growing number of patients worldwide, more and more patients suffer from complications of apnea. But most of them stay untreated due to th...
DrugR+: A comprehensive relational database for drug repurposing, combination therapy, and replacement therapy.
Computers in biology and medicine
May 8, 2019
Drug repurposing or repositioning, which introduces new applications of the existing drugs, is an emerging field in drug discovery scope. To enhance the success rate of the research and development (R&D) process in a cost- and time-effective manner, ...
A cross-lingual approach to automatic ICD-10 coding of death certificates by exploring machine translation.
Journal of biomedical informatics
May 8, 2019
Automatic ICD-10 coding is an unresolved challenge in terms of Machine Learning tasks. Despite hospitals generating an enormous amount of clinical documents, data is considerably sparse, associated with a very skewed and unbalanced code distribution,...
A Channel-Projection Mixed-Scale Convolutional Neural Network for Motor Imagery EEG Decoding.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
May 8, 2019
Motor imagery electroencephalography (EEG) decoding is an essential part of brain-computer interfaces (BCIs) which help motor-disabled patients to communicate with the outside world by external devices. Recently, deep learning algorithms using decomp...
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