Suchi Saria

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Peter SchulamAmazon AlexaVerified email at amazon.com
Adarsh SubbaswamyPhD candidate, Johns Hopkins UniversityVerified email at jhu.edu
Daphne KollerCEO and Founder, insitroVerified email at insitro.com
Katharine HenryPostdoctoral Fellow in Computer Science, Johns Hopkins UniversityVerified email at jhu.edu
Andong Zhan (展安东)Snowflake Inc.Verified email at snowflake.com
David BatesProfessor of Medicine, Harvard Medical SchoolVerified email at partners.org
David N. HagerAssociate Professor of Medicine, Johns Hopkins UniversityVerified email at jhmi.edu
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoVerified email at utoronto.ca
Max A LittleUniversity of Birmingham/MITVerified email at mit.edu
Lucila Ohno-MachadoUniversity of California San DiegoVerified email at ucsd.edu
Peter Pronovost, MD, PhDChief Clinical Transformation Officer University Hosptials ClevelandVerified email at uhhospitals.org
Jenna WiensUniversity of MichiganVerified email at umich.edu
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
Isaac KohaneHarvard Medical School, Children's Hospital, Brigham and Women's HospitalVerified email at hms.harvard.edu
Roy AdamsJohns Hopkins UniversityVerified email at jhu.edu
Hossein SoleimaniUniversity of California, San FranciscoVerified email at ucsf.edu
Andreas TerzisGoogle BrainVerified email at google.com
Nick CraswellMicrosoftVerified email at microsoft.com
Yanbo XuGeorgia Institute of TechnologyVerified email at gatech.edu
Kirill DyagilevCorticaVerified email at cortica.com

Suchi Saria

John C. Malone Associate Professor of Computer Science, Statistics, Health Policy, Johns Hopkins

Verified email at cs.jhu.edu - Homepage

Machine Learning Reasoning under Uncertainty Causal Inference Computational Healthcare


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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	1023	2014
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	450	2015
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	301*	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	293	2019
Microsoft Cambridge at TREC 13: Web and Hard Tracks. H Zaragoza, N Craswell, MJ Taylor, S Saria, SE Robertson TREC 4, 1-1, 2004	230	2004
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	222	2018
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	216	2010
Reliable Decision Support Using Counterfactual Models P Schulam, S Saria Neural Information Processing Systems (NIPS), 2017	153*	2017
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	110	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	104	2013
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multiresolution Structure P Schulam, S Saria Neural Information Processing Systems 28, 2015	100	2015
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport A Subbaswamy, P Schulam, S Saria Artificial Intelligence and Statistics (AISTATS), 2018	98*	2018
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	96	2020
Learning individual and population level traits from clinical temporal data S Saria, D Koller, A Penn Proceedings of Neural Information Processing Systems, 1-9, 2010	94*	2010
Subtyping: What it is and its role in precision medicine S Saria, A Goldenberg IEEE Intelligent Systems 30 (4), 70-75, 2015	91	2015
From development to deployment: dataset shift, causality, and shift-stable models in health AI A Subbaswamy, S Saria Biostatistics 21 (2), 345-352, 2020	75	2020
Probabilistic Plan Recognition in Multiagent Systems. S Saria, S Mahadevan International Conference on Automated Planning and Scheduling (ICAPS), 287-296, 2004	72	2004
Better medicine through machine learning: What’s real, and what’s artificial? S Saria, A Butte, A Sheikh PLoS medicine 15 (12), 2018	69	2018
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	67	2021
High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection A Zhan, MA Little, DA Harris, SO Abiola, E Dorsey, S Saria, A Terzis arXiv preprint arXiv:1601.00960, 2016	64	2016

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