Concepedia
Statistics
Publications
4
Citations
367
H-Index
Active since
2017
Affiliations
Dascena (United States)(Current)
University of California, San Francisco
Kaiser Permanente South San Francisco Medical Center
University of California, Berkeley
Stanford University
Anna Lynn-Palevsky is an author at Dascena (United States) specializing in predictive analytics, sepsis phenotyping, and diagnosis.
Top concepts
MedicineDiagnosisPatient SafetyEmergency MedicineHealth InformaticsSepsis PhenotypingPredictive AnalyticsDisease ClassificationSepsisEpidemiology
Publications per year
2017–2019
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs
Christopher Barton, Uli K. Chettipally, Yifan Zhou et al. · Computers in Biology and Medicine · 2019 · 167 citations · Full text
Machine Learning, Intelligent Diagnostics, Medicine +13
Prediction of Acute Kidney Injury With a Machine Learning Algorithm Using Electronic Health Record Data
Hamid Mohamadlou, Anna Lynn-Palevsky, Christopher Barton et al. · Canadian Journal of Kidney Health and Disease · 2018 · 159 citations · Full text
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction
Hamid Mohamadlou, Saarang Panchavati, J.R. Calvert et al. · Health Informatics Journal · 2019 · 22 citations · Full text
Life Prediction, Prognosis, Diagnosis +21
Evaluating a sepsis prediction machine learning algorithm in the emergency department and intensive care unit: a before and after comparative study
Hoyt Burdick, Eduardo Pino, Denise Gabel-Comeau et al. · 2017 · 19 citations · Full text
Machine Learning, Prognosis, Diagnosis +26
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