Spremljaj
Irene Y. Chen
Irene Y. Chen
Assistant Professor, UC Berkeley and UC San Francisco
Preverjeni e-poštni naslov na berkeley.edu - Domača stran
Naslov
Navedeno
Navedeno
Leto
Why Is My Classifier Discriminatory?
IY Chen, FD Johansson, D Sontag
Neural Information Processing Systems (NeurIPS) 2018, 3543-3554, 2018
4682018
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
380*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
368*2020
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
3422021
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
2942019
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
2542020
Treating health disparities with artificial intelligence
IY Chen, S Joshi, M Ghassemi
Nature medicine 26 (1), 16-17, 2020
1032020
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
842019
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
602019
Probabilistic Machine Learning for Healthcare
IY Chen, S Joshi, M Ghassemi, R Ranganath
Annual Review of Biomedical Data Science 4, 2020
572020
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
562019
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
412022
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
212020
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
202023
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
192019
We should treat algorithms like prescription drugs
A Coravos, I Chen, A Gordhandas, AD Stern
Quartz, 2019
132019
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
102021
Clustering Interval-Censored Time-Series for Disease Phenotyping
IY Chen, RG Krishnan, D Sontag
Proceedings of the AAAI Conference on Artificial Intelligence, 2022
92022
Machine learning for health (ML4H) workshop at NeurIPS 2018
N Antropova, AL Beam, BK Beaulieu-Jones, I Chen, C Chivers, A Dalca, ...
Workshop proceedings, 2018
52018
Reply to:‘Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms’ and ‘Confounding factors need to be accounted for in …
L Seyyed-Kalantari, H Zhang, MBA McDermott, IY Chen, M Ghassemi
Nature Medicine 28 (6), 1161-1162, 2022
32022
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