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1908.00690
Cited By
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
Machine Learning in Health Care (MLHC), 2019
2 August 2019
Bret A. Nestor
Matthew B. A. McDermott
Willie Boag
G. Berner
Tristan Naumann
Michael C. Hughes
Anna Goldenberg
Marzyeh Ghassemi
OOD
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Papers citing
"Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks"
46 / 46 papers shown
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10 Sep 2025
Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data
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Jiazi Tian
Federica Spoto
Alaleh Azhir
Daniel Mork
Hossein Estiri
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10 Sep 2025
Prediction of Survival Outcomes under Clinical Presence Shift: A Joint Neural Network Architecture
Vincent Jeanselme
G. Martin
M. Sperrin
Niels Peek
Brian D. M. Tom
Jessica Barrett
155
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0
07 Aug 2025
Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data
Sujay Nagaraj
Andrew J. Goodwin
Dmytro Lopushanskyy
Danny Eytan
Robert W. Greer
Sebastian D. Goodfellow
Azadeh Assadi
Anand Jayarajan
Anna Goldenberg
Mjaye L. Mazwi
120
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18 Aug 2024
The Data Addition Dilemma
Machine Learning in Health Care (MLHC), 2024
Judy Hanwen Shen
Inioluwa Deborah Raji
Irene Y. Chen
362
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08 Aug 2024
Minimax Regret Learning for Data with Heterogeneous Subgroups
Weibin Mo
Weijing Tang
Songkai Xue
Yufeng Liu
Ji Zhu
266
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02 May 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium
Hyewon Jeong
Sarah Jabbour
Yuzhe Yang
Rahul Thapta
Hussein Mozannar
...
Linying Zhang
Harvineet Singh
Tom Hartvigsen
Helen Zhou
Chinasa T. Okolo
VLM
AI4TS
OOD
420
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03 Mar 2024
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
Ghada Zamzmi
Kesavan Venkatesh
Brandon Nelson
Smriti Prathapan
Paul H Yi
B. Sahiner
Jana G. Delfino
OOD
293
2
0
12 Feb 2024
Fast and Interpretable Mortality Risk Scores for Critical Care Patients
Chloe Qinyu Zhu
Muhang Tian
Lesia Semenova
Jiachang Liu
Jack Xu
Joseph Scarpa
Cynthia Rudin
551
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21 Nov 2023
Why Do Probabilistic Clinical Models Fail To Transport Between Sites?
Thomas A. Lasko
Eric V. Strobl
William W Stead
OOD
335
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08 Nov 2023
A Stability Principle for Learning under Non-Stationarity
Operational Research (OR), 2023
Chengpiao Huang
Kaizheng Wang
566
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27 Oct 2023
Evaluating Model Performance in Medical Datasets Over Time
ACM Conference on Health, Inference, and Learning (CHIL), 2023
Helen Zhou
Yuwen Chen
Zachary Chase Lipton
OOD
321
6
0
22 May 2023
Large-Scale Study of Temporal Shift in Health Insurance Claims
ACM Conference on Health, Inference, and Learning (CHIL), 2023
Christina X. Ji
Ahmed Alaa
David Sontag
AI4TS
OOD
210
4
0
08 May 2023
MLHOps: Machine Learning for Healthcare Operations
Kristoffer Larsen
Vallijah Subasri
A. Krishnan
Cláudio Tinoco Mesquita
Diana Paez
Laleh Seyyed-Kalantari
Amalia Peix
LM&MA
AI4TS
VLM
295
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0
04 May 2023
Coarse race data conceals disparities in clinical risk score performance
Machine Learning in Health Care (MLHC), 2023
Rajiv Movva
Divya Shanmugam
Kaihua Hou
P. Pathak
John Guttag
Nikhil Garg
Emma Pierson
243
34
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18 Apr 2023
Safe AI for health and beyond -- Monitoring to transform a health service
Mahed Abroshan
Michael C. Burkhart
Oscar Giles
Sam F. Greenbury
Zoe Kourtzi
Jack Roberts
M. Schaar
Jannetta S. Steyn
Alan Wilson
M. Yong
306
3
0
02 Mar 2023
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift
Conference on Artificial Intelligence in Medicine in Europe (AIME), 2022
Miguel Rios
A. Abu-Hanna
OOD
183
2
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01 Dec 2022
EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data
Elise Dumas
A. Hamy
S. Houzard
Eva Hernandez
A. Toussaint
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M. Saint-Ghislain
B. Grandal
Eric Daoud
F. Reyal
Chloé-Agathe Azencott
OOD
151
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15 Nov 2022
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts
International Conference on Machine Learning (ICML), 2022
Haoran Zhang
Harvineet Singh
Marzyeh Ghassemi
Shalmali Joshi
478
33
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19 Oct 2022
Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy
Biling Wang
M. Dohopolski
T. Bai
Junjie Wu
R. Hannan
...
D. Nguyen
Mu-Han Lin
Robert Timmerman
Xinlei Wang
Steve B. Jiang
238
5
0
11 Oct 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
International Conference on Learning Representations (ICLR), 2022
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
424
69
0
13 Jun 2022
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
Vincent Jeanselme
G. Martin
Niels Peek
M. Sperrin
Brian D. M. Tom
Jessica Barrett
OOD
184
6
0
26 May 2022
Looking for Out-of-Distribution Environments in Multi-center Critical Care Data
Dimitris Spathis
Stephanie L. Hyland
OOD
CML
263
5
0
26 May 2022
Disability prediction in multiple sclerosis using performance outcome measures and demographic data
ACM Conference on Health, Inference, and Learning (ACM CHIL), 2022
Subhrajit Roy
Diana Mincu
Lev Proleev
Negar Rostamzadeh
Chintan Ghate
...
Christina W. Chen
Jessica Schrouff
Nenad Tomašev
F. Hartsell
Katherine A. Heller
186
8
0
08 Apr 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OOD
CML
AI4TS
315
42
0
18 Mar 2022
Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them
Patterns (Patterns), 2022
Kendra Albert
Maggie K. Delano
FaML
234
16
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15 Mar 2022
AI Gone Astray: Technical Supplement
Janice H. Yang
Ludvig Karstens
Casey Ross
Adam Yala
188
5
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01 Mar 2022
Healthsheet: Development of a Transparency Artifact for Health Datasets
Conference on Fairness, Accountability and Transparency (FAccT), 2022
Negar Rostamzadeh
Diana Mincu
Subhrajit Roy
A. Smart
Lauren Wilcox
Mahima Pushkarna
Jessica Schrouff
Razvan Amironesei
Nyalleng Moorosi
Katherine A. Heller
295
82
0
26 Feb 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
Neural Information Processing Systems (NeurIPS), 2022
Jessica Schrouff
Natalie Harris
Oluwasanmi Koyejo
Ibrahim Alabdulmohsin
Eva Schnider
...
Vivek Natarajan
Alan Karthikesalingam
Katherine A. Heller
Silvia Chiappa
Alexander DÁmour
OOD
481
74
0
02 Feb 2022
Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees
Jean Feng
Alexej Gossmann
B. Sahiner
R. Pirracchio
OOD
276
10
0
13 Oct 2021
Quantifying disparities in intimate partner violence: a machine learning method to correct for underreporting
Divya Shanmugam
Kaihua Hou
Emma Pierson
340
16
0
08 Oct 2021
BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark
Anand Avati
Martin G. Seneviratne
Emily Xue
Zhen Xu
Balaji Lakshminarayanan
Andrew M. Dai
OOD
CML
320
11
0
17 Jul 2021
Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanations
Abubakar Abid
Mert Yuksekgonul
James Zou
CML
233
74
0
24 Jun 2021
An Empirical Framework for Domain Generalization in Clinical Settings
ACM Conference on Health, Inference, and Learning (CHIL), 2021
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OOD
AI4CE
290
68
0
20 Mar 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts
International Conference on Machine Learning (ICML), 2020
Pang Wei Koh
Shiori Sagawa
Henrik Marklund
Sang Michael Xie
Marvin Zhang
...
A. Kundaje
Emma Pierson
Sergey Levine
Chelsea Finn
Abigail Z. Jacobs
OOD
717
1,719
0
14 Dec 2020
Learning how to approve updates to machine learning algorithms in non-stationary settings
Jean Feng
158
1
0
14 Dec 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning
Alexander DÁmour
Katherine A. Heller
D. Moldovan
Ben Adlam
B. Alipanahi
...
Kellie Webster
Steve Yadlowsky
T. Yun
Xiaohua Zhai
D. Sculley
OffRL
571
806
0
06 Nov 2020
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data
David R. Bellamy
Leo Anthony Celi
Andrew L. Beam
LM&MA
OOD
226
24
0
02 Oct 2020
Probabilistic Machine Learning for Healthcare
Annual Review of Biomedical Data Science (ARBDS), 2020
Irene Y. Chen
Shalmali Joshi
Marzyeh Ghassemi
Rajesh Ranganath
OOD
303
66
0
23 Sep 2020
Ethical Machine Learning in Health Care
Annual Review of Biomedical Data Science (ARBDS), 2020
Irene Y. Chen
Emma Pierson
Sherri Rose
Shalmali Joshi
Kadija Ferryman
Marzyeh Ghassemi
AILaw
492
510
0
22 Sep 2020
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
Matthew B. A. McDermott
Bret A. Nestor
Evan Kim
Wancong Zhang
Anna Goldenberg
Peter Szolovits
Marzyeh Ghassemi Csail
AI4TS
198
18
0
20 Jul 2020
Secure and Robust Machine Learning for Healthcare: A Survey
IEEE Reviews in Biomedical Engineering (RBME), 2020
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
337
458
0
21 Jan 2020
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III
ACM Conference on Health, Inference, and Learning (CHIL), 2019
Shirly Wang
Matthew B. A. McDermott
Geeticka Chauhan
Michael C. Hughes
Tristan Naumann
Marzyeh Ghassemi
730
259
0
19 Jul 2019
The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers
Neural Information Processing Systems (NeurIPS), 2019
Alex X. Lu
Amy X. Lu
W. Schormann
Marzyeh Ghassemi
D. Andrews
Alan M. Moses
OOD
351
20
0
17 Jun 2019
A Review of Challenges and Opportunities in Machine Learning for Health
Marzyeh Ghassemi
Tristan Naumann
Peter F. Schulam
Andrew L. Beam
Irene Y. Chen
Rajesh Ranganath
623
348
0
01 Jun 2018
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