Dr. Suchi Saria

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Peter SchulamAmazonEmail verificata su amazon.com
Adarsh SubbaswamyU.S. Food and Drug AdministrationEmail verificata su fda.hhs.gov
Katharine HenryData Scientist at Janssen R&D | PhD Computer Science from Johns Hopkins UniversityEmail verificata su jhu.edu
Andong Zhan (展安东)Snowflake Inc.Email verificata su snowflake.com
Daphne KollerCEO and Founder, insitroEmail verificata su insitro.com
Roy AdamsJohns Hopkins UniversityEmail verificata su jhu.edu
David N. HagerAssociate Professor of Medicine, Johns Hopkins UniversityEmail verificata su jhmi.edu
David BatesProfessor of Medicine, Harvard Medical SchoolEmail verificata su partners.org
Hossein SoleimaniUniversity of California, San FranciscoEmail verificata su ucsf.edu
E. Ray DorseyProfessor of Neurology, University of RochesterEmail verificata su chet.rochester.edu
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoEmail verificata su utoronto.ca
Isaac KohaneHarvard Medical School, Children's Hospital, Brigham and Women's HospitalEmail verificata su hms.harvard.edu
Max A LittleUniversity of BirminghamEmail verificata su mit.edu
Peter Pronovost, MD, PhDChief Clinical Transformation Officer University Hosptials ClevelandEmail verificata su uhhospitals.org
Lucila Ohno-MachadoUniversity of California San DiegoEmail verificata su ucsd.edu
Jenna WiensUniversity of MichiganEmail verificata su umich.edu
Finale Doshi-VelezProfessor, HarvardEmail verificata su seas.harvard.edu
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITEmail verificata su mit.edu
Atul J. ButteDirector, Bakar Computational Health Sciences Institute, University of California, San FranciscoEmail verificata su ucsf.edu
Andreas TerzisGoogle DeepmindEmail verificata su google.com

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Dr. Suchi Saria

John C. Malone Endowed Chair; Computer Science, Statistics, Medicine, Health Policy, Johns Hopkins

Email verificata su cs.jhu.edu - Home page

AI Health AI Machine Learning Reasoning under Uncertainty Causal Inference


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Big data in health care: using analytics to identify and manage high-risk and high-cost patients DW Bates, S Saria, L Ohno-Machado, A Shah, G Escobar Health Affairs 33 (7), 1123-1131, 2014	1445	2014
Do no harm: a roadmap for responsible machine learning for health care (vol 25, pg 1337, 2019) J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, ... NATURE MEDICINE 25 (10), 1627-1627, 2019	798*	2019
Do no harm: a roadmap for responsible machine learning for health care J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, K Jung, ... Nature Medicine, 1-4, 2019	798	2019
A targeted real-time early warning score (TREWScore) for septic shock KE Henry, DN Hager, PJ Pronovost, S Saria Science Translational Medicine 7 (299), 299ra122-299ra122, 2015	626	2015
The Clinician and Dataset Shift in Artificial Intelligence SG Finlayson, A Subbaswamy, K Singh, J Bowers, A Kupke, J Zittrain, ... New England Journal of Medicine 385 (3), 283-286, 2021	490	2021
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist B Norgeot, G Quer, BK Beaulieu-Jones, A Torkamani, R Dias, ... Nature Medicine 26 (9), 1320-1324, 2020	414	2020
Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: the Mobile Parkinson Disease Score A Zhan, S Mohan, C Tarolli*, RB Schneider, JL Adams, S Sharma, ... JAMA Neurology, 2018	405	2018
Artificial intelligence in health care: The hope, the hype, the promise, the peril M Matheny, ST Israni, M Ahmed, D Whicher Washington, DC: National Academy of Medicine 10, 2019	394	2019
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ... bmj 377, 2022	365	2022
Integration of early physiological responses predicts later illness severity in preterm infants S Saria, AK Rajani, J Gould, D Koller, AA Penn Science translational medicine 2 (48), 48ra65-48ra65, 2010	293*	2010
Microsoft Cambridge at TREC 13: Web and Hard Tracks. H Zaragoza, N Craswell, MJ Taylor, S Saria, SE Robertson TREC 4, 1-1, 2004	262	2004
From development to deployment: dataset shift, causality, and shift-stable models in health AI A Subbaswamy, S Saria Biostatistics 21 (2), 345-352, 2020	243	2020
Reliable Decision Support Using Counterfactual Models P Schulam, S Saria Neural Information Processing Systems (NIPS), 2017	234	2017
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport A Subbaswamy, P Schulam, S Saria Artificial Intelligence and Statistics (AISTATS), 2018	180	2018
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis R Adams, KE Henry, A Sridharan, H Soleimani, A Zhan, N Rawat, ... Nature medicine 28 (7), 1455-1460, 2022	167	2022
Subtyping: What it is and its role in precision medicine S Saria, A Goldenberg IEEE Intelligent Systems 30 (4), 70-75, 2015	143	2015
Developing Predictive Models Using Electronic Medical Records: Challenges and Pitfalls C Paxton, A Niculescu-Mizil, S Saria AMIA Annual Symposium Proceedings 2013, 1109, 2013	137	2013
Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery P Schulam, F Wigley, S Saria American Association for Artificial Intelligence 29 (3), 2956-2964, 2015	126	2015
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning P Schulam, S Saria Artificial Intelligence and Statistics (AISTATS), 2019	121	2019
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multiresolution Structure P Schulam, S Saria Neural Information Processing Systems 28, 2015	118	2015

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