We have accepted 58 extended abstracts for presentation at the workshop, which are hosted on the ML4H 2020 arXiv index.
These are listed below, with links to the posters. Numbers indicate poster session IDs.
See the NeurIPS workshop page for live video, chat links, and the most updated schedule. We have also created a Guide for Poster Presenters and a Livestream Guide for Attendees
Session 1
3. Concept-based model explanations for Electronic Health Records
Sebastien Baur*, Shaobo Hou*, Eric Loreaux*, Diana Mincu*, Anne Mottram, Ivan Protsyuk, Nenad Tomasev, Martin G Seneviratne, Alan Karthikesanlingam, Jessica Schrouff
5. Temporal Pointwise Convolution Networks for Length of Stay Prediction in the ICU
Emma Rocheteau, Pietro Liò, Stephanie Hyland
8. Multiomics Data Analysis Predicts Risk of Preeclampsia
Ivana Marić, Kévin Contrepois, Mira Moufarrej, Ina Stelzer, Dorien Feyaerts, Xiaoyuan Han, Andy Tang, Natalie Stanley, Ronald J. Wong, Virginia D. Winn, Gary M. Shaw, David A. Relman, Stephen R. Quake, Martin Angst, Michael P. Snyder, David K. Stevenson, Brice Gaudilliere, Nima Aghaeepour -- on Behalf of Prematurity Research Center
10. ParaMed: A Parallel Corpus for English-Chinese Translation in the Biomedical Domain
Boxiang Liu, Liang Huang
11. Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning
Zhuoqiao Hong*, Colin G. Magdamo*, Yi-han Sheu*, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory Robbins, Shibani Mukerji, Sahar Zafar, Nicole Benson, Lidia Moura, John Hsu, Bradley T. Hyman, Michael B. Westover, Deborah Blacker, Sudeshna Das
12. Mobility network models of COVID-19 explain inequities and inform reopening
Serina Chang*, Emma Pierson*, Pang Wei Koh*, Jaline Gerardin, Beth Redbird, David Grusky, Jure Leskovec
13. Incorporating Healthcare Motivated Constraints in Restless Multi-Armed Bandit Based Resource Allocation
Aviva Prins, Aditya Mate, Jackson A. Killian, Rediet Abebe, Milind Tambe
15. Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
16. Cost-Sensitive Machine Learning Classification for Mass Tuberculosis Verbal Screening
Ali A Septiandri, Aditiawarman, Roy Tjiong, Erlina Burhan, Anuraj H Shankar
17. Uncertainty-Aware Counterfactual Explanations for Medical Diagnosis
Lisa Schut, Oscar Key, Rory McGrath, Luca Costabello, Bogdan Sacaleanu, Medb Corcoran, Yarin Gal
18. Detecting small polyps using a Dynamic SSD-GAN
Daniel C. Ohrenstein, Patrick Brandao, Daniel Toth, Laurence Lovat, Danail Stoyanov and Peter Mountney
19. The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions
Sharut Gupta; Praveer Singh; Ken Chang; Mehak Aggarwal; Nishanth Arun; Liangqiong Qu; Katharina Hoebel; Jay Patel; Mishka Gidwani; Ashwin Vaswani; Daniel L Rubin; Jayashree Kalpathy-Cramer
20. Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression
Peter A. Wijeratne, Daniel C. Alexander
22. Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model
Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand, Maxime Thibault
23. Medical symptom recognition from patient text: An active learning approach for long-tailed multilabel distributions
Ali Mottaghi, Prathusha K Sarma, Xavier Amatriain, Serena Yeung, Anitha Kannan
24. Accounting for Affect in Pain Level Recognition
Md Taufeeq Uddin, Shaun Canavan, Ghada Zamzmi
25. Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds
Erik Drysdale, Devin Singh, Anna Goldenberg
27. A Bayesian Approach for Continual Learning in Clinical Time Series
Yang Guo, Cheryl Wong Sze Yin, Savitha Ramasamy
29. MTB-HINE-BERT: a pre-trained genetic mutation representation model for predicting drug resistance of Mycobacterium tuberculosis
Chenyang Wang, Yang Yang, Samaneh Kouchaki, A. Sarah Walker, Derrick W. Crook, Timothy E. A. Peto, David A. Clifton
30. Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features
Elias Chaibub Neto, Phil Snyder, Solveig K Sieberts, Larsson Omberg
31. Deep Learning Derived Histopathology Image Score for Increasing Phase 3 Clinical Trial Probability of Success
Qi Tang, Vardaan Kishore Kumar
32. Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology
Olivier Dehaene, Axel Camara, Olivier Moindrot, Axel de Lavergne, Pierre Courtiol
33. Model-Attentive Ensemble Learning for Sequence Modeling
Victor D. Bourgin, Ioana Bica, Mihaela van der Schaar
34. Towards Automated Anamnesis Summarization: BERT-based Models for Symptom Extraction
Anton Schäfer, Nils Blach, Oliver Rausch, Maximilian Warm, Nils Krüger
35. Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health
Vincent Valton, Toby Wise, Oliver J. Robinson
36. A decision-making tool to fine-tune abnormal levels in the complete blood count tests
Marta Avalos, Helene Touchais, Marcela Henriquez-Henriquez
37. Enhancing COVID-19 patient deterioration prediction using secondary task pre-trained embedding
Itay Lieder, Nadav Amir, Ahuva Weiss-Meilik, Nathalie Bloch and Amitai Armon
39. Phenotyping Clusters of Patient Trajectories suffering from Complex Disease
Henrique Aguiar, Mauro D. Santos, Peter Watkinson, Tingting Zhu
40. Image analysis for Alzheimer's disease prediction: Embracing pathological hallmarks for model architecture design
Sarah C. Brüningk*, Felix Hensel*, Catherine R. Juetzeler+, Bastian Rieck+
41. Deep Cox Mixtures for Survival Regression
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine Heller
Session 2
42. Towards Diagnosing Nonalcoholic Fatty Liver Disease with Abdominal MRI Data using Deep Learning
Arvind Pillai, Emmette Hutchison, Kamen Bliznashki, Chanchal Kumar, Sven Moosmang, Benjamin Challis, Mishal Patel
43. Adversarial Factor Models for Confound Disentangled Autism Biomarkers
William E. Carson IV, Dmitry Isaev, Samantha Major, Guillermo Sapiro, Geraldine Dawson, David Carlson
44. Identifying Decision Points for Safe and Interpretable RL in Hypotension Treatment
Kristine Zhang*, Yuanheng Wang*, Jianzhun Du*, Brian Chu, Leo Anthony Celi, Ryan Kindle, Finale Doshi-Velez
45. Neural ODEs for Multi-State Survival Analysis
Stefan Groha*, Sebastian M Schmon*, Alexander Gusev
47. Learning to Predict and Support for Clinical Risk Stratification
Aniruddh Raghu, Katherine Young, Eugene Pomerantsev, John Guttag, Adrian V. Dalca, Collin M. Stultz
51. Exploring Gender Disparities in Time to Diagnosis
Tony Y Sun, Oliver Bear Don't Walk IV, Jennifer L Chen, Harry Reyes Nieva, Noémie Elhadad
53. Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives
Diwakar Mahajan, Jennifer J Liang, Ching-Huei Tsou
54. Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax
Benedikt Graf, Arkadiusz Sitek, Amin Katouzian, Yen-Fu Lu, Arun Krishnan, Justin Rafael, Kirstin Small, Yiting Xie
58. GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video
Viswesh Krishna*, Anirudh Joshi*, Philip Bulterys, Eric Yang, Andrew Ng, Pranav Rajpurkar
60. An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text
Kexin Huang, Sankeerth Garapati, Alexander S. Rich
61. A Study of Domain Generalization on Ultrasound-based Multi-Class Segmentation of Arteries, Veins, Ligaments, and Nerves Using Transfer Learning
Edward Chen, Tejas S. Mathai, Vinit Sarode, Howie Choset, John Galeotti
62. CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
Xiang Yue*, Xinliang Frederick Zhang*, Ziyu Yao, Simon Lin, Huan Sun
64. Estimating County-Level COVID-19 Exponential Growth Rates]{Estimating County-Level COVID-19 Exponential Growth Rates Using Generalized Random Forests
Zhaowei She*, Zilong Wang*, Turgay Ayer, Asmae Toumi, Jagpreet Chhatwal
66. Augmenting BERT Carefully with Underrepresented Linguistic Features
Aparna Balagopalan, Jekaterina Novikova
67. Towards Trainable Saliency Maps in Medical Imaging
Mehak Aggarwal, Nishanth Arun, Sharut Gupta, Ashwin Vaswani, Bryan Chen, Matthew Li, Ken Chang, Jay Patel, Katherine Hoebel, Mishka Gidwani, Jayashree Kalpathy-Cramer, Praveer Singh
68. transferGWAS: GWAS of Images Using Deep Transfer Learning
Matthias Kirchler, Stefan Konigorski, Claudia Schurmann, Matthias Norden, Christian Meltendorf, Marius Kloft, Christoph Lippert
69. CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays
Pranav Rajpurkar*, Anirudh Joshi*, Anuj Pareek*, Jeremy Irvin, Andrew Ng, Matthew Lungren
70. Generating SOAP Notes from Doctor-Patient Conversations
Kundan Krishna, Sopan Khosla, Jeffrey Bigham, Zachary Lipton
71. Personalized Healthcare and Causal Interventions
Utkarshani Jaimini, Amit Sheth, Krishnaprasad Thirunarayan, Maninder Kalra, Marco Valtorta
74. Opening a Can of Words: Train-test overlaps in Clinical Natural Language Processing Datasets
Aparna Balagopalan, Tristan Naumann, Frank Rudzicz, Marzyeh Ghassemi
75. A stability-driven protocol for drug response interpretable prediction (staDRIP)
Xiao Li*, Tiffany M. Tang*, Xuewei Wang, Jean-Pierre A. Kocher, Bin Yu
77. Learning Optimal Predictive Checklists
Haoran Zhang, Quaid Morris, Berk Ustun*, Marzyeh Ghassemi*
79. A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media
Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Rajiv Ratn Shah
80. Bayesian Recurrent State Space Model For rs-fMRI
Arunesh Mittal, Scott Linderman, John Paisley, Paul Sajda
81. COVID-19 in Differential Diagnosis of Online Symptom Assessments
Anitha Kannan,Richard Chen,Vignesh Venkataraman,Geoffrey Chen, Xavier Amatriain
82. Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer’s Dementia
Utkarsh Sarawgi, Wazeer Zulfikar, Rishab Khincha, Pattie Maes