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Week 01 Day 04

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Year:: 2018
Contributor:: Kobayashi, Leo (Creator); Oyalowo, Adewole (Creator); Agrawal, Uday (Creator); Hu, Xiao (Creator); Loparo, Kenneth A. (Creator); Leary, Owen P. (Creator); Jay, Gregory D. (Creator); Merck, Derek L. (Creator)
Subject:: machine learning; alert fatigue health personnel; automatic data processing; clinical alarms; emergency medicine; medical informatics; patient generated health data
DOI: https://doi.org/10.26300/ck2t-be58

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Abstract:: Adjudicated / Annotated Telemetry signals for Medically Important and Clinically Significant events-1 (ATOMICS-1) dataset. Derivation dataset with clinician-adjudicated red alarms [~8,530 datastream minutes over 853 adjudicated red alarms; no EKG or PPG waveform annotations].
Notes:: This research was supported by the Agency for Healthcare, Research and Quality (AHRQ) under award number R18HS022860.

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Kobayashi, Leo, Oyalowo, Adewole, Agrawal, Uday, et al., "Week 01 Day 04" (2018). Brown Digital Repository. Brown University Library. https://doi.org/10.26300/ck2t-be58

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(ATOMICS-1) Adjudicated/Annotated Telemetry Signals for Medically Important and Clinically Significant Events-1 Dataset