Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning
Niranjani Prasad; Barbara Engelhardt; Finale Doshi-Velez
Variational learning of individual survival distributions
Zidi Xiu; Chenyang Tao; Ricardo Henao
Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines
Chirag Nagpal; Dennis Wei; Bhanukiran Vinzamuri; Monica Shekhar; Sara E. Berger; Subhro Das; Kush R. Varshney
Adverse drug reaction discovery from electronic health records with deep neural networks
Wei Zhang; Zhaobin Kuang; Peggy Peissig; David Page
CaliForest: calibrated random forest for health data
Yubin Park; Joyce C. Ho
BMM-Net: automatic segmentation of edema in optical coherence tomography based on boundary detection and multi-scale network
Ruru Zhang; Jiawen He; Shenda Shi; Haihong E; Zhonghong Ou; Meina Song
Survival cluster analysis
Paidamoyo Chapfuwa; Chunyuan Li; Nikhil Mehta; Lawrence Carin; Ricardo Henao
An adversarial approach for the robust classification of pneumonia from chest radiographs
Joseph D. Janizek; Gabriel Erion; Alex J. DeGrave; Su-In Lee
Explaining an increase in predicted risk for clinical alerts
Michaela Hardt; Alvin Rajkomar; Gerardo Flores; Andrew Dai; Michael Howell; Greg Corrado; Claire Cui; Moritz Hardt
Fast learning-based registration of sparse 3D clinical images
Kathleen Lewis; Natalia S. Rost; John Guttag; Adrian V. Dalca
Multiple instance learning for predicting necrotizing enterocolitis in premature infants using microbiome data
Thomas Hooven; Yun Chao Lin; Ansaf Salleb-Aouissi
Hurtful words: quantifying biases in clinical contextual word embeddings
Haoran Zhang; Amy X. Lu; Mohamed Abdalla; Matthew McDermott; Marzyeh Ghassemi
Disease state prediction from single-cell data using graph attention networks
Neal Ravindra; Arijit Sehanobish; Jenna L. Pappalardo; David A. Hafler; David van Dijk
Using SNOMED to automate clinical concept mapping
Shaun Gupta; Frederik Dieleman; Patrick Long; Orla Doyle; Nadejda Leavitt
MMiDaS-AE: multi-modal missing data aware stacked autoencoder for biomedical abstract screening
Eric W. Lee; Byron C. Wallace; Karla I. Galaviz; Joyce C. Ho
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging
Luke Oakden-Rayner; Jared Dunnmon; Gustavo Carneiro; Christopher Re
Interactive hybrid approach to combine machine and human intelligence for personalized rehabilitation assessment
Min Hun Lee; Daniel P. Siewiorek; Asim Smailagic; Alexandre Bernardino; Sergi Bermúdez i Badia
Extracting medical entities from social media
Sanja Scepanovic; Enrique Martin-Lopez; Daniele Quercia; Khan Baykaner
Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning
Vishwali Mhasawade; Nabeel Abdur Rehman; Rumi Chunara
TASTE: temporal and static tensor factorization for phenotyping electronic health records
Ardavan Afshar; Ioakeim Perros; Haesun Park; Christopher deFilippi; Xiaowei Yan; Walter Stewart; Joyce Ho; Jimeng Sun
Analyzing the role of model uncertainty for electronic health records
Michael W. Dusenberry; Dustin Tran; Edward Choi; Jonas Kemp; Jeremy Nixon; Ghassen Jerfel; Katherine Heller; Andrew M. Dai
Deidentification of free-text medical records using pre-trained bidirectional transformers
Alistair E. W. Johnson; Lucas Bulgarelli; Tom J. Pollard
MIMIC-Extract: a data extraction, preprocessing, and representation pipeline for MIMIC-III
Shirly Wang; Matthew B. A. McDermott; Geeticka Chauhan; Marzyeh Ghassemi; Michael C. Hughes; Tristan Naumann