Scott Pappada

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Thomas J. PapadimosThe University of Toledo Medical CenterDirección de correo verificada de utoledo.edu
Raymond Boureyassociate professor of medicineDirección de correo verificada de wustl.edu
Stanislaw P. Stawicki MD MBAChair, Dept of Research & Innovation, St Luke's University Health Network, Bethlehem, PennsylvaniaDirección de correo verificada de stawickifoundation.org
Andres OrtizAeroVironment IncDirección de correo verificada de avinc.com
Scott GalsterCOO, Mile TwoDirección de correo verificada de miletwo.us
David C. Evans, MD, FACS, FCCM, FA...OhioHealth Trauma and Surgical Services; Ohio UniversityDirección de correo verificada de ohiohealth.com
Sadik KhuderUniversity of ToledoDirección de correo verificada de utoledo.edu
Ana Mavarez-Martinez, MD, MS, CCRPAugusta UniversityDirección de correo verificada de augusta.edu
Sujatha P BhandaryAssociate Professor,CT Anesthesiology Emory UniversityDirección de correo verificada de emory.edu
Jonathan LippsDepartment of Anesthesiology, The Ohio State University College of MedicineDirección de correo verificada de osumc.edu
Susan Moffatt-BruceOSUSURGERY, The Ohio State UniversityDirección de correo verificada de osu.edu
ZK PAN, ZHIXING KEVIN PAN, ZHIXIN...the university of toledo, The Scripps Research InstituteDirección de correo verificada de utoledo.edu
Jared FreemanChief Scientist, Aptima, Inc.Dirección de correo verificada de aptima.com
Rodrigo DALY GURISChildren's Hospital of PhiladelphiaDirección de correo verificada de chop.edu
Serkan Toy, PhDAssociate Professor, Virginia Tech Carilion School of MedicineDirección de correo verificada de vt.edu
Adam SchiaviJohns HopkinsDirección de correo verificada de jhmi.edu
Jose SalinasScience Lead, US Army Institute of Surgical ResearchDirección de correo verificada de health.mil

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Scott Pappada

University of Toledo College of Medicine & Life Sciences (Department of Anesthesiology)

Dirección de correo verificada de utoledo.edu

Machine Learning Clinical Decision Support Systems Medical Simulation Critical Care Research Human Performance


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Neural network-based real-time prediction of glucose in patients with insulin-dependent diabetes SM Pappada, BD Cameron, PM Rosman, RE Bourey, TJ Papadimos, ... Diabetes technology & therapeutics 13 (2), 135-141, 2011	221	2011
Development of a neural network for prediction of glucose concentration in type 1 diabetes patients SM Pappada, BD Cameron, PM Rosman Journal of diabetes science and technology 2 (5), 792-801, 2008	165	2008
Comorbidity polypharmacy score and its clinical utility: A pragmatic practitioner's perspective SP Stawicki, S Kalra, C Jones, CF Justiniano, TJ Papadimos, ... Journal of emergencies, trauma, and shock 8 (4), 224-231, 2015	91	2015
Clinical support systems and methods S Pappada US Patent 11,081,234, 2021	49	2021
Neural network for glucose therapy recommendation BD Cameron, SM Pappada US Patent 8,762,306, 2014	44	2014
Neural network system and uses thereof BD Cameron, SM Pappada US Patent 9,076,107, 2015	42	2015
Evaluation of a model for glycemic prediction in critically ill surgical patients SM Pappada, BD Cameron, DB Tulman, RE Bourey, MJ Borst, W Olorunto, ... PLoS One 8 (7), e69475, 2013	41	2013
Real-time workload assessment as a foundation for human performance augmentation K Durkee, A Geyer, S Pappada, A Ortiz, S Galster Foundations of Augmented Cognition: 7th International Conference, AC 2013 …, 2013	31	2013
Predictive treatment of dysglycemic excursions associated with diabetes mellitus P Rosman, S Pappada US Patent App. 11/615,212, 2007	29	2007
Systems and methods to determine user state K Durkee, S Pappada, A Ortiz, W DePriest, J Feeney, A Geyer, S Sullivan, ... US Patent 10,265,008, 2019	27	2019
Increasing patient safety with neonates via handoff communication during delivery: a call for interprofessional health care team training across GME and CME AA Vanderbilt, SM Pappada, H Stein, D Harper, TJ Papadimos Advances in Medical Education and Practice, 365-367, 2017	24	2017
System decision framework for augmenting human performance using real-time workload classifiers KT Durkee, SM Pappada, AE Ortiz, JJ Feeney, SM Galster 2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods …, 2015	22	2015
Development of a neural network model for predicting glucose levels in a surgical critical care setting SM Pappada, MJ Borst, BD Cameron, RE Bourey, JD Lather, D Shipp, ... Patient safety in surgery 4, 1-5, 2010	21	2010
An artificial neural network-based predictive model to support optimization of inpatient glycemic control SM Pappada, MH Owais, BD Cameron, JC Jaume, A Mavarez-Martinez, ... Diabetes Technology & Therapeutics 22 (5), 383-394, 2020	20	2020
Machine learning in medicine: it has arrived, let's embrace it SM Pappada Journal of Cardiac Surgery 36 (11), 4121-4124, 2021	19	2021
Simulation based training system for measurement of team cognitive load to automatically customize simulation content J Beaubien, JJ Feeney, WN DePriest, SM Pappada US Patent 10,783,801, 2020	16	2020
Contributing factors to operating room delays identified from an electronic health record: a retrospective study SM Pappada, TJ Papadimos, S Khuder, ST Mack, PZ Beachy, ... Anesthesiology Research and Practice 2022 (1), 8635454, 2022	11	2022
Personalizing simulation-based medical education: the case for novel learning management systems S Pappada, MH Owais, S Aouthmany, J Schneiderman, S Toy, A Schiavi, ... Int J Healthc Simul 10, 2022	10	2022
Computer-Implemented Method and Apparatus for Diabetes Management P Rosman, S Pappada US Patent App. 11/868,660, 2008	10	2008
Systems and methods to support medical therapy decisions SM Pappada, JJ Feeney, WN DePriest US Patent 11,464,456, 2022	9	2022

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