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Author: Samuel Bayer (6)


Sep
2017

Metacognition, the capacity 'to think about thinking' and thus to reflect and to master interpersonal problems on a mentalistic basis, is often impaired among patients with schizophrenia spectrum disorders and has been suggested as a potential treatment target. However, little is known about the reliability of its measurement and links with related phenomena. The aim of this study was to validate a German translation of the Metacognition Assessment Scale (MAS-A) as a measure to assess metacognition from free narratives of patients' personally relevant episodes and relationships.

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Dec
2015

In recognition of potential barriers that may inhibit the widespread adoption of biomedical software, the 2014 i2b2 Challenge introduced a special track, Track 3 - Software Usability Assessment, in order to develop a better understanding of the adoption issues that might be associated with the state-of-the-art clinical NLP systems. This paper reports the ease of adoption assessment methods we developed for this track, and the results of evaluating five clinical NLP system submissions.
A team of human evaluators performed a series of scripted adoptability test tasks with each of the participating systems.

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Sep
2013

We describe an experiment to build a de-identification system for clinical records using the open source MITRE Identification Scrubber Toolkit (MIST). We quantify the human annotation effort needed to produce a system that de-identifies at high accuracy.
Using two types of clinical records (history and physical notes, and social work notes), we iteratively built statistical de-identification models by annotating 10 notes, training a model, applying the model to another 10 notes, correcting the model's output, and training from the resulting larger set of annotated notes.

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Sep
2013

Secondary use of clinical text is impeded by a lack of highly effective, low-cost de-identification methods. Both, manual and automated methods for removing protected health information, are known to leave behind residual identifiers. The authors propose a novel approach for addressing the residual identifier problem based on the theory of Hiding In Plain Sight (HIPS).

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Dec
2010

Medical records must often be stripped of patient identifiers, or de-identified, before being shared. De-identification by humans is time-consuming, and existing software is limited in its generality. The open source MITRE Identification Scrubber Toolkit (MIST) provides an environment to support rapid tailoring of automated de-identification to different document types, using automatically learned classifiers to de-identify and protect sensitive information.

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Dec
2010

De-identified medical records are critical to biomedical research. Text de-identification software exists, including "resynthesis" components that replace real identifiers with synthetic identifiers. The goal of this research is to evaluate the effectiveness and examine possible bias introduced by resynthesis on de-identification software.

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