Feature Robustness in Non-stationary Health Records: Caveats to
Deployable Model Performance in Common Clinical Machine Learning Tasks

Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks

2 August 2019

Matthew B. A. McDermott

Tristan Naumann

Michael C. Hughes

Anna Goldenberg

Marzyeh Ghassemi

Papers citing "Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks"

17 / 17 papers shown

Title
A Stability Principle for Learning under Non-Stationarity Chengpiao Huang Kaizheng Wang 39 2 0 27 Oct 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 9 1 0 02 Mar 2023
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift Miguel Rios A. Abu-Hanna OOD 22 1 0 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 ... M. Saint-Ghislain B. Grandal Eric Daoud F. Reyal Chloé-Agathe Azencott OOD 13 2 0 15 Nov 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 28 2 0 11 Oct 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 34 45 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 31 4 0 26 May 2022
Looking for Out-of-Distribution Environments in Multi-center Critical Care Data Dimitris Spathis Stephanie L. Hyland OOD CML 27 4 0 26 May 2022
Disability prediction in multiple sclerosis using performance outcome measures and demographic data Subhrajit Roy Diana Mincu Lev Proleev Negar Rostamzadeh Chintan Ghate ... Christina W. Chen Jessica Schrouff Nenad Tomašev F. Hartsell Katherine A. Heller 14 7 0 08 Apr 2022
Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them Kendra Albert Maggie K. Delano FaML 18 11 0 15 Mar 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 21 5 0 13 Oct 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 24 58 0 20 Mar 2021
Learning how to approve updates to machine learning algorithms in non-stationary settings Jean Feng 11 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 53 669 0 06 Nov 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 14 15 0 20 Jul 2020
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III Shirly Wang Matthew B. A. McDermott Geeticka Chauhan Michael C. Hughes Tristan Naumann Marzyeh Ghassemi 12 205 0 19 Jul 2019
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 213 1,897 0 06 Jun 2016