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Assisting nurses in care documentation: from automated sentence classification to coherent document structures with subject headings
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Background:
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Up to 35% of nurses' working time is spent on care documentation.
We describe the ...
Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health
<p>Remote health monitoring is an effective method to enable tracking of
at-risk patients outside of conventional clinical settings, providing
early-detection of diseases and preventive care as well as diminishing ...
Pain process of patients with cardiac surgery — Semantic annotation of electronic patient record data
Aims and objectives: To describe and compare the pain process of the patients’ with cardiac surgery through nurses’ and physicians’ documentations in the electronic patient records.<br /><br />Background: Postoperative ...
A Machine Learning Approach Towards Early Detection of Frequent Health Care Users
In primary health care, a small number of frequent users incur a large portion of the total health care expenditures. In this work, we study whether it is possible to recognize these frequent users early on, through the ...
Machine Learning to Automate the Assignment of Diagnosis Codes to Free-text Radiology Reports: a Method Description
<p>We introduce a multi-label classification system for the automated assignment of diagnostic codes to radiology reports. The system is a cascade of text enrichment, feature selection and two classifiers. It was evaluated ...
Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter
<p>We present the results from our participation in the 2nd Social Media Mining for Health Applications Shared Task –
Task 2. The goal of this task is to develop systems capable of recognizing mentions of medication intake ...