AIMC Topic: Humans

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Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection.

IEEE journal of biomedical and health informatics Feb 11, 2020
Epilepsy is a chronic neurological disorder characterized by the occurrence of spontaneous seizures, which affects about one percent of the worlds population. Most of the current seizure detection approaches strongly rely on patient history records a...
Seizures Signal Processing, Computer-Assisted Humans Neural Networks, Computer Brain Diagnosis, Computer-Assisted Deep Learning Electroencephalography
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Effects of interactive robot-enhanced hand rehabilitation in treatment of paediatric hand-burns: A randomized, controlled trial with 3-months follow-up.

Burns : journal of the International Society for Burn Injuries Feb 11, 2020
PURPOSE: To evaluate the effectiveness of the robotic-assisted exercise with virtual gaming on total active range of motion (ROM) of the digits, hand grip strength (HGS), and hand function in children with hand burns.
Male Virtual Reality Child Humans Female Exercise Therapy Range of Motion, Articular Video Games Hand Injuries Hand Strength Robotics Burns
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Prehospital triage of acute aortic syndrome using a machine learning algorithm.

The British journal of surgery Feb 11, 2020
BACKGROUND: Acute aortic syndrome (AAS) comprises a complex and potentially fatal group of conditions requiring emergency specialist management. The aim of this study was to build a prediction algorithm to assist prehospital triage of AAS.
Prognosis Female Reproducibility of Results Aged Male Aortic Diseases Middle Aged Clinical Decision Rules Machine Learning Triage Algorithms Hospital Mortality Acute Disease Humans Prospective Studies Logistic Models Syndrome Emergency Medical Services
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Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society Feb 11, 2020
Identifying the design of a failed implant is a key step in the preoperative planning of revision total joint arthroplasty. Manual identification of the implant design from radiographic images is time-consuming and prone to error. Failure to identify...
Hip Prosthesis Middle Aged Deep Learning Radiography Prosthesis Design Hip Joint Arthroplasty, Replacement, Hip Humans Retrospective Studies Female Aged Aged, 80 and over Male
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Robotic repair of colovesical fistula due to complicated Crohn's disease - a video vignette.

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland Feb 11, 2020
Rectal Fistula Intestinal Fistula Humans Robotics Robotic Surgical Procedures Crohn Disease
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Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network.

Physical and engineering sciences in medicine Feb 11, 2020
Given the patient to doctor ratio of 50,000:1 in low income and middle-income countries, there is a need for automated heart sound classification system that can screen the Phonocardiogram (PCG) records in real-time. This paper proposes deep neural n...
Phonocardiography Models, Theoretical Area Under Curve Humans Heart Sounds Neural Networks, Computer ROC Curve
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Hybrid decision tree-based machine learning models for short-term water quality prediction.

Chemosphere Feb 11, 2020
Water resources are the foundation of people's life and economic development, and are closely related to health and the environment. Accurate prediction of water quality is the key to improving water management and pollution control. In this paper, t...
Rivers Environmental Monitoring Models, Statistical Decision Trees Oxygen Water Pollution Water Quality Machine Learning Temperature Water Humans
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Gait variability as digital biomarker of disease severity in Huntington's disease.

Journal of neurology Feb 11, 2020
BACKGROUND: Impaired gait plays an important role for quality of life in patients with Huntington's disease (HD). Measuring objective gait parameters in HD might provide an unbiased assessment of motor deficits in order to determine potential benefic...
Biomarkers Female Adult Humans Machine Learning Severity of Illness Index Gait Disorders, Neurologic Huntington Disease Biomechanical Phenomena Male Middle Aged
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Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2020
In recent years, deep learning achieves remarkable results in the field of artificial intelligence. However, the training process of deep neural networks may cause the leakage of individual privacy. Given the model and some background information of ...
Humans Neural Networks, Computer Artificial Intelligence Deep Learning Privacy
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On the localness modeling for the self-attention based end-to-end speech synthesis.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2020
Attention based end-to-end speech synthesis achieves better performance in both prosody and quality compared to the conventional "front-end"-"back-end" structure. But training such end-to-end framework is usually time-consuming because of the use of ...
Attention Normal Distribution Communication Devices for People with Disabilities Humans Neural Networks, Computer Speech
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