Dr. Suchi Saria

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Adarsh SubbaswamyPhD candidate, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
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Dr. Suchi Saria

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

Dirección de correo verificada de cs.jhu.edu - Página principal

Machine Learning Reasoning under Uncertainty Causal Inference Computational Healthcare


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	1116	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	490	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	398*	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	389	2019
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	268	2018
Microsoft Cambridge at TREC 13: Web and Hard Tracks. H Zaragoza, N Craswell, MJ Taylor, S Saria, SE Robertson TREC 4, 1-1, 2004	231	2004
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	230*	2010
Reliable Decision Support Using Counterfactual Models P Schulam, S Saria Neural Information Processing Systems (NIPS), 2017	177	2017
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	139	2020
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	137	2021
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport A Subbaswamy, P Schulam, S Saria Artificial Intelligence and Statistics (AISTATS), 2018	120	2018
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	116	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	113	2013
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multiresolution Structure P Schulam, S Saria Neural Information Processing Systems 28, 2015	111	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	101	2020
Subtyping: What it is and its role in precision medicine S Saria, A Goldenberg IEEE Intelligent Systems 30 (4), 70-75, 2015	101	2015
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	98*	2010
Better medicine through machine learning: What’s real, and what’s artificial? S Saria, A Butte, A Sheikh PLoS medicine 15 (12), 2018	82	2018
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning P Schulam, S Saria Artificial Intelligence and Statistics (AISTATS), 2019	76	2019
Probabilistic Plan Recognition in Multiagent Systems. S Saria, S Mahadevan International Conference on Automated Planning and Scheduling (ICAPS), 287-296, 2004	72	2004

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