Dr. Suchi Saria
Dr. Suchi Saria
John C. Malone Endowed Chair; Computer Science, Statistics, Medicine, Health Policy, Johns Hopkins
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
Microsoft Cambridge at TREC 13: Web and Hard Tracks.
H Zaragoza, N Craswell, MJ Taylor, S Saria, SE Robertson
TREC 4, 1-1, 2004
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
Reliable Decision Support Using Counterfactual Models
P Schulam, S Saria
Neural Information Processing Systems (NIPS), 2017
From development to deployment: dataset shift, causality, and shift-stable models in health AI
A Subbaswamy, S Saria
Biostatistics 21 (2), 345-352, 2020
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport
A Subbaswamy, P Schulam, S Saria
Artificial Intelligence and Statistics (AISTATS), 2018
Subtyping: What it is and its role in precision medicine
S Saria, A Goldenberg
IEEE Intelligent Systems 30 (4), 70-75, 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
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
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
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multiresolution Structure
P Schulam, S Saria
Neural Information Processing Systems 28, 2015
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
P Schulam, S Saria
Artificial Intelligence and Statistics (AISTATS), 2019
The system can't perform the operation now. Try again later.
Articles 1–20