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The purpose of this study was to a) explore which stressors (non-work and work-related) are reported as important for the onset of illness by patients seeking medical care for stress-related exhaustion and b) explore the prevalence of each stressor and examine whether the pattern differs ...
Metrics Abstract The development of medical applications of machine learning has required manual annotation of data, often by medical experts. Yet, the availability of large-scale unannotated data provides opportunities for the development of better machine-learning models. In this Review, we highlight...
Pilot study of the influence of self-coding on empathy within an introductory motivational interviewing trainingEmpathyMotivational interviewingMIHealth professionalsEducationComparison of pre and post-training scores by group assignmentdoi:10.1186/s12909-020-1956-5Trevor Simper...
peak killing at Wk4pc implicates pre-adults in the portal tract as targets. These conclusions are supported by a hallmark histopathological study54, which showed that parasites arriving in the lungs of naïve rhesus macaques provoked minimal inflammation, whereas in self-cured animals they were ini...
each study was assessed on the first nine items of the tool and given a percentage score for how many of the items were met. The tenth item of the CASP tool for qualitative studies (‘How valuable is the research?’) was not used due to its subjective nature. To enable comparison betw...
PROBLEM TO BE SOLVED: To provide a medical solution self-injection device with a novel structure, allowing a patient to stably inject the medical solution into the internal of the patient by improving easiness to push a button.SOLUTION: ... 中神 裕之,上西 正之,中川 直己,... 被引量: ...
Visualization of the Multiple Baselines Using Staggering of the Enactment of SYG Laws and Multiple Locations Using 23 SYG States During the Study Period, 1999 to 2017 eFigure 2. Data Visualization Showing the Suspected Coding Error in the Data for Race in Texas From September 2007 to February 20...
Table 1 Overview of studies using self-supervised learning for medical image analysis. Full size table Methods In this study, we use the self-supervised learning paradigm to enhance the detection of colorectal polyps. Our algorithmic framework involves a series of steps, as follows. First, we emp...
Several self-supervised learning methods have been developed for natural images and used or adapted for medical tasks8. Huang et al.8divide them into four categories: “Innate relationship”, “Generative”, “Contrastive” and “Self-prediction”. Their study found that methods in the “Contrastiv...