000 01561 a2200457 4500
005 20250518005706.0
264 0 _c20200529
008 202005s 0 0 eng d
022 _a1573-2614
024 7 _a10.1007/s10877-018-0219-z
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aRush, Barret
245 0 0 _aApplying machine learning to continuously monitored physiological data.
_h[electronic resource]
260 _bJournal of clinical monitoring and computing
_cOct 2019
300 _a887-893 p.
_bdigital
500 _aPublication Type: Journal Article; Review
650 0 4 _aAdult
650 0 4 _aAlgorithms
650 0 4 _aArrhythmias, Cardiac
_xdiagnosis
650 0 4 _aAtrial Fibrillation
_xdiagnosis
650 0 4 _aClinical Alarms
650 0 4 _aCritical Care
650 0 4 _aDatabases, Factual
650 0 4 _aDecision Support Systems, Clinical
650 0 4 _aDelirium
_xdiagnosis
650 0 4 _aElectronic Health Records
650 0 4 _aExpert Systems
650 0 4 _aHumans
650 0 4 _aIntensive Care Units
650 0 4 _aMachine Learning
650 0 4 _aMonitoring, Physiologic
_xinstrumentation
650 0 4 _aRandomized Controlled Trials as Topic
650 0 4 _aRespiration, Artificial
650 0 4 _aSepsis
_xdiagnosis
650 0 4 _aSoftware
650 0 4 _aWavelet Analysis
700 1 _aCeli, Leo Anthony
700 1 _aStone, David J
773 0 _tJournal of clinical monitoring and computing
_gvol. 33
_gno. 5
_gp. 887-893
856 4 0 _uhttps://doi.org/10.1007/s10877-018-0219-z
_zAvailable from publisher's website
999 _c29032996
_d29032996