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Fall Risk Prediction in Older Adults Using Free-Text Nursing Notes and Medications in Electronic Health Records.
Annu Int Conf IEEE Eng Med Biol Soc
July 2023
Nursing notes in Electronic Health Records (EHR) contain critical health information, including fall risk factors. However, an exploration of fall risk prediction using nursing notes is not well examined. In this study, we explored deep learning architectures to predict fall risk in older adults using text in nursing notes and medications in the EHR.
View Article and Find Full Text PDFNew Linguistic Description Approach for Time Series and its Application to Bed Restlessness Monitoring for Eldercare.
IEEE Trans Fuzzy Syst
April 2022
Electrical Engineering and Computer Science, University of Missouri, USA.
Time series analysis has been an active area of research for years, with important applications in forecasting or discovery of hidden information such as patterns or anomalies in observed data. In recent years, the use of time series analysis techniques for the generation of descriptions and summaries in natural language of any variable, such as temperature, heart rate or CO2 emission has received increasing attention. Natural language has been recognized as more effective than traditional graphical representations of numerical data in many cases, in particular in situations where a large amount of data needs to be inspected or when the user lacks the necessary background and skills to interpret it.
View Article and Find Full Text PDFTigerPlace: a new future for older adults.
J Nurs Care Qual
March 2005
Sinclair School of Nursing, University of Missouri - Columbia, MO, USA.
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