Irene Y. Chen

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	3616	3494
h-index	17	17
i10-index	19	18

1100

550

275

825

201920202021202220232024202587 225 384 635 942 1078 215

Nyilvános hozzáférés

Összes megtekintése

12 cikk

0 cikk

elérhető

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Finanszírozási megbízások alapján

Társszerzők

Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITE-mail megerősítve itt: mit.edu
David SontagProfessor, Massachusetts Institute of TechnologyE-mail megerősítve itt: csail.mit.edu
Matthew B. A. McDermottPostdoctoral Researcher, Harvard Medical School, Department of Biomedical InformaticsE-mail megerősítve itt: hms.harvard.edu
Shalmali JoshiColumbia UniversityE-mail megerősítve itt: cumc.columbia.edu
Tristan NaumannPrincipal Researcher, Microsoft Research Health FuturesE-mail megerősítve itt: microsoft.com
Laleh Seyyed-KalantariAssistant Professor, York University, Vector InstituteE-mail megerősítve itt: yorku.ca
Peter SzolovitsProfessor of Computer Science and Engineering, MITE-mail megerősítve itt: mit.edu
Kadija FerrymanBerman Institute of Bioethics and Department of Health Policy and Management, Bloomberg School ofE-mail megerősítve itt: jhu.edu
Fredrik D. JohanssonAssociate Professor, Chalmers University of TechnologyE-mail megerősítve itt: chalmers.se
Sherri RoseProfessor, Stanford UniversityE-mail megerősítve itt: stanford.edu
Monica AgrawalAssistant Professor, DukeE-mail megerősítve itt: duke.edu
Steven HorngClinical Lead for Machine Learning, Beth Israel Deaconess Medical CenterE-mail megerősítve itt: bidmc.harvard.edu
Bharti KhuranaBrigham and Women's Hospital, Harvard Medical SchoolE-mail megerősítve itt: bwh.harvard.edu
Adrian V DalcaHarvard Medical School & Massachusetts Institute of TechnologyE-mail megerősítve itt: mit.edu
Rahul G. KrishnanUniversity of TorontoE-mail megerősítve itt: cs.toronto.edu

Követés

Irene Y. Chen

Assistant Professor, UC Berkeley and UC San Francisco

E-mail megerősítve itt: berkeley.edu - Kezdőlap

machine learning healthcare equity precision health


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations L Seyyed-Kalantari, H Zhang, MBA McDermott, IY Chen, M Ghassemi Nature medicine 27 (12), 2176-2182, 2021	579	2021
Why Is My Classifier Discriminatory? IY Chen, FD Johansson, D Sontag Neural Information Processing Systems (NeurIPS) 2018, 3543-3554, 2018	545	2018
Ethical Machine Learning in Health IY Chen, E Pierson, S Rose, S Joshi, K Ferryman, M Ghassemi Annual Review of Biomedical Data Science 4, 2020	524*	2020
A review of challenges and opportunities in machine learning for health M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath AMIA Summits on Translational Science Proceedings 2020, 191, 2020	504*	2020
Can AI Help Reduce Disparities in General Medical and Mental Health Care? IY Chen, P Szolovits, M Ghassemi AMA Journal of Ethics 21 (2), 167-179, 2019	393	2019
CheXclusion: Fairness gaps in deep chest X-ray classifiers L Seyyed-Kalantari, G Liu, M McDermott, IY Chen, M Ghassemi Pacific Symposium of Biocomputing 2021, 2020	334	2020
Treating health disparities with artificial intelligence IY Chen, S Joshi, M Ghassemi Nature medicine 26 (1), 16-17, 2020	134	2020
Practical guidance on artificial intelligence for health-care data M Ghassemi, T Naumann, P Schulam, AL Beam, IY Chen, R Ranganath The Lancet Digital Health 1 (4), e157-e159, 2019	107	2019
Probabilistic Machine Learning for Healthcare IY Chen, S Joshi, M Ghassemi, R Ranganath Annual Review of Biomedical Data Science 4, 2020	79	2020
Trends and focus of machine learning applications for health research B Beaulieu-Jones, SG Finlayson, C Chivers, I Chen, M McDermott, ... JAMA network open 2 (10), e1914051-e1914051, 2019	69	2019
The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It SS Gervasi, IY Chen, A Smith-McLallen, D Sontag, Z Obermeyer, ... Health Affairs 41 (2), 212-218, 2022	66	2022
Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph IY Chen, M Agrawal, S Horng, D Sontag Pacific Symposium of Biocomputing 2020, 2019	65	2019
Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes MY Choi, I Chen, AE Clarke, MJ Fritzler, KA Buhler, M Urowitz, J Hanly, ... Annals of the rheumatic diseases 82 (7), 927-936, 2023	41	2023
Intimate Partner Violence and Injury Prediction From Radiology Reports IY Chen, E Alsentzer, H Park, R Thomas, B Gosangi, R Gujrathi, ... Pacific Symposium of Biocomputing 2021, 2020	28	2020
Clustering Interval-Censored Time-Series for Disease Phenotyping IY Chen, RG Krishnan, D Sontag Proceedings of the AAAI Conference on Artificial Intelligence, 2022	20	2022
Turning the crank for machine learning: ease, at what expense? TJ Pollard, I Chen, J Wiens, S Horng, D Wong, M Ghassemi, H Mattie, ... The Lancet Digital Health 1 (5), e198-e199, 2019	20	2019
Recognizing isolated ulnar fractures as potential markers for intimate partner violence B Khurana, D Sing, R Gujrathi, A Keraliya, CP Bay, I Chen, SE Seltzer, ... Journal of the American College of Radiology 18 (8), 1108-1117, 2021	18	2021
Nlp for maternal healthcare: Perspectives and guiding principles in the age of llms M Antoniak, A Naik, CS Alvarado, LL Wang, IY Chen Proceedings of the 2024 ACM Conference on Fairness, Accountability, and …, 2024	16*	2024
We should treat algorithms like prescription drugs A Coravos, I Chen, A Gordhandas, AD Stern Quartz, 2019	11	2019
Prompt Engineering for Generative Artificial Intelligence in Gastroenterology and Hepatology J Ge, IY Chen, MJ Pletcher, JC Lai Official journal of the American College of Gastroenterology\| ACG, 10.14309, 2024	8	2024

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