- Title Information
- Title
- Week 02 Day 05
- Name
- Name Part
- Kobayashi, Leo
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
- Creator
- Name
- Name Part
- Oyalowo, Adewole
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
- Creator
- Name
- Name Part
- Agrawal, Uday
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
- Creator
- Name
- Name Part
- Hu, Xiao
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
- Creator
- Name
- Name Part
- Loparo, Kenneth A.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
- Creator
- Name
- Name Part
- Leary, Owen P.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
- Creator
- Name
- Name Part
- Jay, Gregory D.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
- Creator
- Name
- Name Part
- Merck, Derek L.
- Role
- Role Term (marcrelator)
(authorityURI="http://id.loc.gov/vocabulary/relators", valueURI="http://id.loc.gov/vocabulary/relators/cre")
- Creator
- Abstract
- Adjudicated / Annotated Telemetry signals for Medically Important and Clinically Significant events-0 (ATOMICS-0) dataset. Control dataset of clinician-adjudicated/-annotated "true negatives" consisting of 300 stable, 10-minute datastream segments without alarm-triggering features [~3,000 datastream minutes over 300 non-alarm segments with EKG and PPG waveform annotations]
- Origin Information
- Date Created
- 2018
- Subject (Local)
- Topic
- machine learning
- Subject (Local)
- Topic
- alert fatigue health personnel
- Subject (Local)
- Topic
- automatic data processing
- Subject (Local)
- Topic
- clinical alarms
- Subject (Local)
- Topic
- emergency medicine
- Subject (Local)
- Topic
- medical informatics
- Subject (Local)
- Topic
- patient generated health data
- Type of Resource
- software, multimedia
- Genre
- data set
- Identifier:
DOI
- 10.26300/17cn-bt67
- Note:
funding
-
This research was supported by the Agency for Healthcare, Research and Quality (AHRQ) under award number R18HS022860.