TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit

The TILES-2019 data set consists of behavioral and physiological data gathered from 57 medical residents (i.e., trainees) working in an intensive care unit (ICU) in the United States. The data set allows for the exploration of longitudinal changes in well-being, teamwork, and job performance in a de...

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Bibliographic Details
Published in:	Scientific Data Vol. 9; no. 1; pp. 536 - 17
Main Authors:	Yau, Joanna C., Girault, Benjamin, Feng, Tiantian, Mundnich, Karel, Nadarajan, Amrutha, Booth, Brandon M., Ferrara, Emilio, Lerman, Kristina, Hsieh, Eric, Narayanan, Shrikanth
Format:	Journal Article
Language:	English
Published:	London Springer Science and Business Media LLC 01.09.2022 Nature Publishing Group UK Nature Publishing Group Nature Portfolio
Subjects:	692/1537 706/648/697/129 [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI] [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing [SDV.MHEP.PHY]Life Sciences [q-bio]/Human health and pathology/Tissues and Organs [q-bio.TO] [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie [STAT.ML]Statistics [stat]/Machine Learning [stat.ML] Burnout Census Computer Science COVID-19 Data Descriptor Datasets Heart rate Human health and pathology Humanities and Social Sciences Humans Intensive care Intensive Care Units Internet of Things Internship and Residency Job performance Life Sciences Machine Learning Medical residencies multidisciplinary Occupational health Occupational Stress Pandemics Patients Physical activity Psychiatrics and mental health Q Questionnaires Santé publique et épidémiologie Science Science (multidisciplinary) Sensors Signal and Image Processing Sleep Social and Information Networks Social interactions Social organization Statistics Stress Surveys Tiles Tissues and Organs Well being
ISSN:	2052-4463, 2052-4463
Online Access:	Get full text
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