Melissa Jay - Concepedia

Author

Melissa Jay

University of California, San Francisco

Also Known As

, Melissa Jay

Publications

1.4K

Citations

H-Index

Concepts

All Affiliations

University of California, San Francisco Dascena (United States)Kaiser Permanente South San Francisco Medical Center Stanford University Kaiser Permanente Redwood City Medical Center

About

Melissa Jay is an author at University of California, San Francisco specializing in medicine, sepsis, and diagnosis.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	3	3	277
2	Engineering	1	1	249
3	Public Health	1	1	17
4	Emergency Medicine	1	1	11
5	Epidemiology	1	1	17

Melissa Jay

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach Thomas Desautels, Jacob Calvert, Jana Hoffman, JMIR Medical Informatics	2016	505
Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU Qingqing Mao, Melissa Jay, Jana Hoffman, BMJ Open	2018	329
A computational approach to early sepsis detection Jacob Calvert, D A Price, Uli K. Chettipally, Computers in Biology and Medicine EngineeringMachine LearningPattern RecognitionDiagnosisSepsis	2016	249
Using electronic health record collected clinical variables to predict medical intensive care unit mortality Jacob Calvert, Qingqing Mao, Jana Hoffman, Annals of Medicine and Surgery	2016	80
High-performance detection and early prediction of septic shock for alcohol-use disorder patients Jacob Calvert, Thomas Desautels, Uli K. Chettipally, Annals of Medicine and Surgery	2016	73
Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting Thomas Desautels, Jacob Calvert, Jana Hoffman, Biomedical Informatics Insights	2017	54
Cost and mortality impact of an algorithm-driven sepsis prediction system Jacob Calvert, Jana Hoffman, Christopher Barton, Journal of Medical Economics	2017	26
A computational approach to mortality prediction of alcohol use disorder inpatients Jacob Calvert, Qingqing Mao, Angela J. Rogers, Computers in Biology and Medicine Substance AbuseSubstance UsePsychiatryMortality PredictionAddiction	2016	17
Pediatric Severe Sepsis Prediction Using Machine Learning Thomas Desautels, Jana Hoffman, Christopher Barton, Machine LearningMedicinePredictive AnalyticsPatient SafetyDiagnosis	2017	11

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