Dr. Suchi Saria

引用次數

	全部	自 2020 年
引文	10394	7987
H 指數	48	42
i10 指數	89	81

2200

1100

550

1650

2012201320142015201620172018201920202021202220232024202554 48 89 185 275 364 502 661 995 1226 1550 1865 2177 152

公開取用

查看全部

45 篇文章

2 篇文章

可供使用

無法使用

根據資金強制性政策

共同作者

Adarsh SubbaswamyU.S. Food and Drug Administration在 fda.hhs.gov 的電子郵件地址已通過驗證
Peter SchulamAmazon在 amazon.com 的電子郵件地址已通過驗證
Katharine HenryData Scientist at Janssen R&D | PhD Computer Science from Johns Hopkins University在 jhu.edu 的電子郵件地址已通過驗證
Andong Zhan (展安东)Snowflake Inc.在 snowflake.com 的電子郵件地址已通過驗證
Daphne KollerCEO and Founder, insitro在 insitro.com 的電子郵件地址已通過驗證
Roy AdamsJohns Hopkins University在 jhu.edu 的電子郵件地址已通過驗證
David N. HagerAssociate Professor of Medicine, Johns Hopkins University在 jhmi.edu 的電子郵件地址已通過驗證
David BatesProfessor of Medicine, Harvard Medical School在 partners.org 的電子郵件地址已通過驗證
Hossein SoleimaniUniversity of California, San Francisco在 ucsf.edu 的電子郵件地址已通過驗證
E. Ray DorseyProfessor of Neurology, University of Rochester在 chet.rochester.edu 的電子郵件地址已通過驗證
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of Toronto在 utoronto.ca 的電子郵件地址已通過驗證
Isaac KohaneHarvard Medical School, Children's Hospital, Brigham and Women's Hospital在 hms.harvard.edu 的電子郵件地址已通過驗證
Max A LittleUniversity of Birmingham在 mit.edu 的電子郵件地址已通過驗證
Peter Pronovost, MD, PhDChief Clinical Transformation Officer University Hosptials Cleveland在 uhhospitals.org 的電子郵件地址已通過驗證
Lucila Ohno-MachadoUniversity of California San Diego在 ucsd.edu 的電子郵件地址已通過驗證
Jenna WiensUniversity of Michigan在 umich.edu 的電子郵件地址已通過驗證
Finale Doshi-VelezProfessor, Harvard在 seas.harvard.edu 的電子郵件地址已通過驗證
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MIT在 mit.edu 的電子郵件地址已通過驗證
Atul J. ButteDirector, Bakar Computational Health Sciences Institute, University of California, San Francisco在 ucsf.edu 的電子郵件地址已通過驗證
Andreas TerzisGoogle Deepmind在 google.com 的電子郵件地址已通過驗證

追蹤

Dr. Suchi Saria

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

在 cs.jhu.edu 的電子郵件地址已通過驗證 - 首頁

AI Health AI Machine Learning Reasoning under Uncertainty Causal Inference


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
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	1480	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	831*	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	831	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	636	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	510	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	426	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	410	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	406	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	401	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	298*	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	260	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	249	2020
Reliable Decision Support Using Counterfactual Models P Schulam, S Saria Neural Information Processing Systems (NIPS), 2017	241	2017
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	182	2022
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport A Subbaswamy, P Schulam, S Saria Artificial Intelligence and Statistics (AISTATS), 2018	182	2018
Subtyping: What it is and its role in precision medicine S Saria, A Goldenberg IEEE Intelligent Systems 30 (4), 70-75, 2015	148	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	140	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	128	2015
Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system KE Henry, R Kornfield, A Sridharan, RC Linton, C Groh, T Wang, A Wu, ... npj Digital Medicine 5 (1), 1-6, 2022	126	2022
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning P Schulam, S Saria Artificial Intelligence and Statistics (AISTATS), 2019	125	2019

系統目前無法執行作業，請稍後再試。

文章 1–20

每年的引文數

重複引用

合併引文

新增共同作者共同作者

追蹤

引用次數

共同作者