A physiological time series dynamics-based approach to patient monitoring and outcome prediction.

scientific article

A physiological time series dynamics-based approach to patient monitoring and outcome prediction. is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/titb/LehmanAMMMMN15
P356DOI10.1109/JBHI.2014.2330827
P932PMC publication ID4346516
P698PubMed publication ID25014976

P50authorLouis MayaudQ86067653
P2093author name stringGeorge B Moody
Li-wei H Lehman
Roger G Mark
Atul Malhotra
Shamim Nemati
Ryan P Adams
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Assessment and management of blood-pressure variabilityQ38080706
Factorial switching linear dynamical systems applied to physiological condition monitoringQ38874205
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Early loss of heart rate complexity predicts mortality regardless of mechanism, anatomic location, or severity of injury in 2178 trauma patientsQ43952331
Discovering shared dynamics in physiological signals: application to patient monitoring in ICU.Q45959669
Prediction of extubation failure for neonates with respiratory distress syndrome using the MIMIC-II clinical database.Q45959689
A delay recruitment model of the cardiovascular control system.Q51969406
Timing of Initiation and Discontinuation of Renal Replacement Therapy in AKI: Unanswered Key QuestionsQ58358642
Model-based assessment of baroreflex and cardiopulmonary couplings during graded head-up tiltQ58859918
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P433issue3
P921main subjectpatientQ181600
P304page(s)1068-1076
P577publication date2014-06-30
P1433published inIEEE Journal of Biomedical and Health InformaticsQ24031535
P1476titleA physiological time series dynamics-based approach to patient monitoring and outcome prediction
P478volume19

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