MLHC 2021

31 papers

A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction Inigo Urteaga, Kathy Li, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noemie Elhadad

A New Semi-Supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms Zhe Huang, Gary Long, Benjamin Wessler, Michael C. Hughes

An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention Yeachan Kim, Bonggun Shin

Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen, David M. Kent, John B. Wong, Joshua T. Cohen, Michael C. Hughes

Back to the Basics with Inclusion of Clinical Domain Knowledge - A Simple, Scalable and Effective Model of Alzheimer’s Disease Classification Sarah C. Brüningk, Felix Hensel, Louis P. Lukas, Merel Kuijs, Catherine R. Jutzeler, Bastian Rieck

CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-Rays Emma Chen, Andy Kim, Rayan Krishnan, Jin Long, Andrew Y. Ng, Pranav Rajpurkar

Deep Cox Mixtures for Survival Regression Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine Heller

Deep Generative Analysis for Task-Based Functional MRI Experiments Daniela Albuquerque, Jack Goffinet, Rachael Wright, John Pearson

Detecting Atrial Fibrillation in ICU Telemetry Data with Weak Labels Brian Chen, Golara Javadi, Amoon Jamzad, Alexander Hamilton, Stephanie Sibley, Purang Abolmaesumi, David Maslove, Parvin Mousavi

Directing Human Attention in Event Localization for Clinical Timeline Creation Jason Zhao, Monica Agrawal, Pedram Razavi, David Sontag

Dynamic Survival Analysis for EHR Data with Personalized Parametric Distributions Preston Putzel, Hyungrok Do, Alex Boyd, Hua Zhong, Padhraic Smyth

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Cao Xiao, Jimeng Sun

Hierarchical Information Criterion for Variable Abstraction Mark Mirtchouk, Bharat Srikishan, Samantha Kleinberg

In-Depth Benchmarking of Deep Neural Network Architectures for ECG Diagnosis Naoki Nonaka, Jun Seita

Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach Ardvan Saeedi, Payman Yadollahpour, Sumedha Singla, Brian Pollack, William Wells, Frank Sciurba, Kayhan Batmanghelich

Intraoperative Adverse Event Detection in Laparoscopic Surgery: Stabilized Multi-Stage Temporal Convolutional Network with Focal-Uncertainty Loss Haiqi Wei, Frank Rudzicz, David Fleet, Teodor Grantcharov, Babak Taati

Knowledge Graph-Based Question Answering with Electronic Health Records Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi

MedAug: Contrastive Learning Leveraging Patient Metadata Improves Representations for Chest X-Ray Interpretation Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar, Can Liu, Andrew Y. Ng, Pranav Rajpurkar

Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization Bharath Chintagunta, Namit Katariya, Xavier Amatriain, Anitha Kannan

MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health Hiba Ahsan, Emmie Ohnuki, Avijit Mitra, Hong You

Mind the Performance Gap: Examining Dataset Shift During Prospective Validation Erkin Otles, Jeeheh Oh, Benjamin Li, Michelle Bochinski, Hyeon Joo, Justin Ortwine, Erica Shenoy, Laraine Washer, Vincent B. Young, Krishna Rao, Jenna Wiens

Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings Shengpu Tang, Jenna Wiens

Model-Based Metrics: Sample-Efficient Estimates of Predictive Model Subpopulation Performance Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily Fox

Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs Nasir Hayat, Hazem Lashen, Farah E. Shamout

Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data Shreyas Bhave, Adler Perotte

Power Constrained Bandits Jiayu Yao, Emma Brunskill, Weiwei Pan, Susan Murphy, Finale Doshi-Velez

Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines Byung-Hak Kim, Varun Ganapathi

Risk Score Learning for COVID-19 Contact Tracing Apps Kevin Murphy, Abhishek Kumar, Stylianos Serghiou

Stool Image Analysis for Precision Health Monitoring by Smart Toilets Jin Zhou, Nick DeCapite, Jackson McNabb, Jose R. Ruiz, Deborah A. Fisher, Sonia Grego, Krishnendu Chakrabarty

Uncertainty-Aware Time-to-Event Prediction Using Deep Kernel Accelerated Failure Time Models Zhiliang Wu, Yinchong Yang, Peter A. Fashing, Volker Tresp

Understanding Clinical Collaborations Through Federated Classifier Selection Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski