Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Feb 8, 2018
BACKGROUND: Stress recognition using electrocardiogram (ECG) signals requires the intractable long-term heart rate variability (HRV) parameter extraction process. This study proposes a novel deep learning framework to recognize the stressful states, ...
OBJECTIVES: The aim of this verification study was to compare the QuantiFERON-TB Gold Plus (QFT-Plus) to the QuantiFERON-TB Gold In Tube (QFT-GIT). The new QFT-Plus test contains an extra antigen tube which, according to the manufacturer additionally...
Alzheimer's disease (AD) is a highly prevalent condition and its prevalence is expected to further increase due to the aging of the general population. It is obvious that the diagnosis of AD has implications for driving. Finally, driving discussions ...
INTRODUCTION: To compare the pre- and post-operative Gleason scores (GS) in patients with localized prostate cancer treated with robot-assisted laparoscopic radical prostatectomy.
INTRODUCTION: The length of stay of critically ill patients in the intensive care unit (ICU) is an indication of patient ICU resource usage and varies considerably. Planning of postoperative ICU admissions is important as ICUs often have no nonoccupi...
INTRODUCTION: Dysmorphism is an important characteristic, but its evaluation is largely subjective. A good clinical assessment (dysmorphism) can facilitate a more accurate and efficient diagnosis. We therefore evaluated an automated artificial intell...
The journals of gerontology. Series B, Psychological sciences and social sciences
Oct 16, 2020
OBJECTIVES: Socially assistive robots (SARs) need to be studied from older adults' perspective, given their predicted future ubiquity in aged-care settings. Current ethical discourses on SARs in aged care are uninformed by primary stakeholders' ethic...
Medicine and science in sports and exercise
Aug 1, 2020
PURPOSE: To assess injury risk in elite-level youth football (soccer) players based on anthropometric, motor coordination and physical performance measures with a machine learning model.
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