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Text Classification Model Explainability for Keyword Extraction - Towards Keyword-Based Summarization of Nursing Care Episodes
Tools to automate the summarization of nursing entries in electronic health records (EHR) have the potential to support healthcare professionals to obtain a rapid overview of a patient's situation when time is limited. ...
How to Improve Information Technology to Support Healthcare to Address the COVID-19 Pandemic: an International Survey with Health Informatics Experts
<p><strong>Objectives:</strong> To identify the ways in which healthcare information and communication technologies can be improved to address the challenges raised by the COVID-19 pandemic.</p><p><strong>Methods:</strong> ...
Using machine learning to predict subsequent events after EMS non-conveyance decisions
<p><strong>Background: </strong>Predictors of subsequent events after Emergency Medical Services (EMS) non-conveyance decisions are still unclear, though patient safety is the priority in prehospital emergency care. The ...
Combining supervised and unsupervised named entity recognition to detect psychosocial risk factors in occupational health checks
<p>Introduction: In occupational health checks the information about psychosocial risk factors, which influence work ability, is documented in free text. Early detection of psychosocial risk factors helps occupational ...
Towards Automated Screening of Literature on Artificial Intelligence in Nursing
We evaluate the performance of multiple text classification methods used to automate the screening of article abstracts in terms of their relevance to a topic of interest. The aim is to develop a system that can be first ...