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Translational Medical Research Commons™
Open Access. Powered by Scholars. Published by Universities.®
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Articles 1 - 4 of 4
Full-Text Articles in Translational Medical Research
Conference Proceedings: Aurora Scientific Day 2020
Conference Proceedings: Aurora Scientific Day 2020
Journal of Patient-Centered Research and Reviews
Abstracts published in this supplement were among those presented at the 46th annual Aurora Scientific Day research symposium, held virtually on May 20, 2020. The symposium provides a forum for describing research studies conducted by faculty, fellows, residents, and allied health professionals affiliated with Wisconsin-based Aurora Health Care, a part of the Advocate Aurora Health health system, which publishes the Journal of Patient-Centered Research and Reviews.
The Center For Nursing Research And Quality Outcomes, Jennifer Laflamme, Kristiina Hyrkas
The Center For Nursing Research And Quality Outcomes, Jennifer Laflamme, Kristiina Hyrkas
Annual Reports
10 Year Anniversary Book of Research, Magnet Conference and Quality Improvement Project Abstracts, 2010-2020: Cover and Table of Contents. Index published separately.
The Center For Nursing Research And Quality Outcomes, Jennifer Laflamme, Kristiina Hyrkas
The Center For Nursing Research And Quality Outcomes, Jennifer Laflamme, Kristiina Hyrkas
Annual Reports
10 Year Anniversary Book of Research, Magnet Conference and Quality Improvement Project Abstracts, 2010-2020: Index. Cover and Table of Contents published separately.
Interpreting Health Events In Big Data Using Qualitative Traditions, Roschelle L. Fritz, Gordana Dermody
Interpreting Health Events In Big Data Using Qualitative Traditions, Roschelle L. Fritz, Gordana Dermody
Research outputs 2014 to 2021
© The Author(s) 2020. The training of artificial intelligence requires integrating real-world context and mathematical computations. To achieve efficacious smart health artificial intelligence, contextual clinical knowledge serving as ground truth is required. Qualitative methods are well-suited to lend consistent and valid ground truth. In this methods article, we illustrate the use of qualitative descriptive methods for providing ground truth when training an intelligent agent to detect Restless Leg Syndrome. We show how one interdisciplinary, inter-methodological research team used both sensor-based data and the participant’s description of their experience with an episode of Restless Leg Syndrome for training the intelligent agent. …