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Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure.

, , , , , and . ICDH, page 208-216. IEEE, (2023)

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Using Machine Learning to Train a Wearable Device for Measuring Students' Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use., , , , , , , and . Sensors, 20 (17): 4833 (2020)Longitudinal Classification of Mental Effort Using Electrodermal Activity, Heart Rate, and Skin Temperature Data from a Wearable Sensor., , , and . ICPR Workshops (2), volume 12662 of Lecture Notes in Computer Science, page 86-95. Springer, (2020)Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination., , and . IEEE BigData, page 4981-4987. IEEE, (2020)Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure., , , , , and . ICDH, page 208-216. IEEE, (2023)Discovering explanatory models to identify relevant tweets on Zika., , , and . EMBC, page 1194-1197. IEEE, (2017)Caregiver Assessment Using Smart Gaming Technology: A Preliminary Approach., , , , , , and . CoRR, (2018)Caregiver Assessment Using Smart Gaming Technology: A Feasibility Study., , , , and . FUZZ-IEEE, page 1-6. IEEE, (2019)Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure., , , , , and . EMBC, page 2643-2646. IEEE, (2022)Analyzing Public Outlook towards Vaccination using Twitter., , , and . IEEE BigData, page 2763-2772. IEEE, (2019)Do Alternative Instructional Approaches Result in Different Learning Progressions?, , , and . ICLS, International Society of the Learning Sciences, (2018)