20W01 - Differentially Private "Small" Dataset Release Using Random Projections
Lovedeep Gondara, Ke Wang
20W03 - Learning Representations for Prediction of Next Patient State
Taylor Killian, Jayakumar Subramanian, Mehdi Fatemi, Marzyeh Ghassemi
20W04 - Deep State-Space Generative Model For Correlated Time-to-Event Predictions
Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui
20W05 - Differentially Private Survival Function Estimation
Lovedeep Gondara, Ke Wang
20W07 - Improving medical annotation quality to decrease labeling burden using stratified noisy cross-validation
Joy Hsu, Sonia Phene, Akinori Mitani, Jieying Luo, Naama Hammel, Jonathan Krause, Rory Sayres
20W08 - A Multi-Task Learning Approach to Personalized Progression Modeling
Mohamed Ghalwash, Daby Sow
20W09 - Improved Patient Classification with Hierarchical Language Model Pretraining over Clinical Notes
Jonas Kemp, Alvin Rajkomar, Andrew M. Dai
20W11 - Cost-Sensitive Feature Selection Using Bayesian Optimization
Lucca G. Zenobio, Thiago N. C. Cardoso, Andrea Kauffmann, Augusto Antunes
20W12 - A large-scale Twitter dataset for drug safety applications mined from publicly existing resources
Ramya Tekumalla, Juan M Banda
20W13 - ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
Kexin Huang, Jaan Altosaar, Rajesh Ranganath
20W14 - Mining Dynamic Problem Lists from Clinical Notes for the Interpretable Prediction of Adverse Outcomes
Justin Lovelace, Nathan Hurley, Adrian Haimovich, Bobak Mortazavi
20W15 - Deep Transfer Learning for Physiological Signals
Hugh Chen, Scott Lundberg, Gabe Erion, Jerry H. Kim, Su-In Lee
20W16 - Open Set Medical Diagnosis
Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David Sontag, Xavier Amatriain
20W17 - Assessing Robustness of Deep Learning Methods in Dermatological Workflow
Sourav Mishra, Subhajit Chaudhury, Hideaki Imaizumi, Toshihiko Yamasaki
20W20 - Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning
Benjamin Shickel, Martin Heesacker, Sherry Benton, Parisa Rashidi
20W21 - Generation of Differentially Private Heterogeneous Synthetic Electronic Health Records using GANs
Kieran Chin-Cheong, Thomas M. Sutter, Julia E. Vogt
20W22 - Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction
Satya Narayan Shukla, Benjamin Marlin
20W23 - CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting
Pranav Rajpurkar, Anirudh Joshi, Phil Chen, Anuj Pareek, Amir Kiani, Matthew Lungren, Andrew Ng, Jeremy Irvin
20W24 - Automated Medical Coding using BERT: Benchmarking Deep Learning in the Face of Subjective Labels
Mehmet Seflek, Wesam Elshamy, Abboud Chaballout, Ali Madani
20W25 - Distracted Multi-task Learning: Addressing Negative Transfer with Fine-tuning on EHR Time-series Data
Matthew McDermott, Bret Nestor, Wancong Zhang, Peter Szolovits, Anna Goldenberg, Marzyeh Ghassemi
20W26 - Dataset Bias in Diagnostic AI systems: Guidelines for Dataset Collection and Usage
Julie R Vaughn, Avital Baral, Mayukha Vadari, William Boag
20W27 - Temporal-Clustering Invariance in Irregular Healthcare Time Series
Mohammad Taha Bahadori, Zachary Lipton
20W28 - Calibrated Deep Nonparametric Survival Analysis
Fahad Kamran, Jenna Wiens