Automatic inference of hypoglycemia causes in type 1 diabetes: a feasibility study

BackgroundHypoglycemia is the most common adverse consequence of treating diabetes, and is often due to suboptimal patient self-care. Behavioral interventions by health professionals and self-care education helps avoid recurrent hypoglycemic episodes by targeting problematic patient behaviors. This relies on time-consuming investigation of reasons behind the observed episodes, which involves manual interpretation of personal diabetes diaries and communication with patients. Therefore, there is a clear motivation to automate this process using a supervised machine learning paradigm. This manuscript presents a feasibility study of automatic identification of hypoglycemia causes.MethodsReasons for 1885 hypoglycemia events were labeled by 54 participants with type 1 diabetes over a 21 months period. A broad range of possible predictors were extracted describing a hypoglycemic episode and the subject’s general self-care from participants’ routinely collected data on the Glucollector, their diabetes management platform. Thereafter, the possible hypoglycemia reasons were categorized for two major analysis sections - statistical analysis of relationships between the data features of self-care and hypoglycemia reasons, and classification analysis investigating the design of an automated system to determine the reason for hypoglycemia.ResultsPhysical activity contributed to 45% of hypoglycemia reasons on the real world collected data. The statistical analysis provided a number of interpretable predictors of different hypoglycemia reasons based on self-care behaviors. The classification analysis showed the performance of a reasoning system in practical settings with different objectives under F1-score, recall and precision metrics.ConclusionThe data acquisition characterized the incidence distribution of the various hypoglycemia reasons. The analyses highlighted many interpretable predictors of the various hypoglycemia types. Also, the feasibility study presented a number of concerns valuable in the design of the decision support system for automatic hypoglycemia reason classification. Therefore, automating the identification of the causes of hypoglycemia may help objectively to target behavioral and therapeutic changes in patients' care

Prevalence of Asymptomatic Recurrences of Atrial Fibrillation After Successful Radiofrequency Catheter Ablation

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72183/1/j.1540-8167.2004.04055.x.pd

Embodied Action, Enacted Bodies. The Example of Hypoglycaemia.

We all know that we have and are our bodies. But might it be possible to leave this common place? In the present article we try to do this by attending to the way we do our bodies. The site where we look for such action is that of handling the hypoglycaemias that sometimes happen to people with diabetes. In this site it appears that the body, active in measuring, feeling and countering hypoglycaemias is not a bounded whole: its boundaries leak. Bits and pieces of the outside get incorporated within the active body; while the centre of some bodily activities is beyond the skin. The body thus enacted is not self-evidently coherent either. There are tensions between the body¿s organs; between the control under which we put our bodies and the erratic character of their behaviour; and between the various needs and desires single bodies somehow try to combine. Thus to say that a body is a whole, or so we conclude, skips over a lot of work. One does not hang together as a matter of course: keeping oneself together is something the embodied person needs to do. The person who fails to do so dies

Research priorities in the field of posttraumatic pain and disability: Results of a transdisciplinary consensus-generating workshop

© Copyright 2016 David M.Walton et al. Background. Chronic or persistent pain and disability following noncatastrophic \u27musculoskeletal\u27 (MSK) trauma is a pervasive public health problem. Recent intervention trials have provided little evidence of benefit from several specific treatments for preventing chronic problems. Such findings may appear to argue against formal targeted intervention for MSK traumas. However, these negative findings may reflect a lack of understanding of the causal mechanisms underlying the transition from acute to chronic pain, rendering informed and objective treatment decisions difficult. The Canadian Institutes of Health Research (CIHR) Institute ofMusculoskeletalHealth and Arthritis (IMHA) has recently identified better understanding of causalmechanisms as one of three priority foci of their most recent strategic plan. Objectives. A 2-day invitation-only active participation workshop was held inMarch 2015 that included 30 academics, clinicians, and consumers with the purpose of identifying consensus research priorities in the field of trauma-relatedMSK pain and disability, prediction, and prevention. Methods. Conversations were recorded, explored thematically, and member-checked for accuracy. Results. From the discussions, 13 themes were generated that ranged from a focus on identifying causal mechanisms and models to challenges with funding and patient engagement. Discussion. Novel priorities included the inclusion of consumer groups in research from the early conceptualization and design stages and interdisciplinary longitudinal studies that include evaluation of integrated phenotypes and mechanisms

Enhancing the authenticity of assessments through grounding in first impressions

This article examines first impressions through a discursive and interactional lens. Until now, social psychologists have studied first impressions in laboratory conditions, in isolation from their natural environment, thus overseeing their discursive roles as devices for managing situated interactional concerns. I examine fragments of text and talk in which individuals spontaneously invoke first impressions of other persons as part of assessment activities in settings where the authenticity of speakers’ stances might be threatened: (1) in activities with inbuilt evaluative components and (2) in sequential contexts where recipients have been withholding affiliation to speakers’ actions. I discuss the relationship between authenticity, as a type of credibility issue related to intersubjective trouble, and the characteristics of first impression assessments, which render them useful for dealing with this specific credibility concern. I identify four features of first impression assessments which make them effective in enhancing authenticity: the witness position (Potter 1996), (dis)location in time and space, automaticity, and extreme formulations (Edwards, 2003)