Extended Abstracts

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

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

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

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

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

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

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

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

62. CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering

Xiang Yue*, Xinliang Frederick Zhang*, Ziyu Yao, Simon Lin, Huan Sun

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