Schedule

This schedule is subject to change. All times are in EDT.

Time (EDT) Type Title Speaker Moderator
12:00 - 12:10 PM Opening Welcome and Opening Remarks Tristan Naumann -- Livestream
12:10 - 1:10 PM Tutorial Changing patient trajectory: A case study exploring implementation and deployment of clinical machine learning models Yindalon Aphinyanaphongs Bobak Mortazavi Zoom
12:10 - 1:10 PM Tutorial Causal Inference from text data Dhanya Sridhar Harvineet Singh Zoom
12:10 - 1:10 PM Tutorial 'Are log scales endemic yet?' Strategies for visualizing biomedical and public health data Anamaria Crisan Jesse Gronsbell Zoom
1:10 - 1:30 PM Keynote Algorithmic fairness and the science of health disparities Rumi Chunara -- Livestream
1:30 - 1:50 PM Keynote Data science against COVID-19 Nuria Oliver -- Livestream
1:50 - 2:10 PM Q&A Panel Q&A with Rumi Chunara and Nuria Oliver Matthew McDermott Livestream
2:10 PM Spotlight 06 Counterfactually guided policy transfer in clinical settings Taylor Killian -- Livestream
2:17 PM Spotlight 08 Evaluating domain generalization for survival analysis in clinical studies Florian Pfiseterer -- Livestream
2:24 PM Spotlight 29 Estimating model performance on external datasets from their limited statistical characteristics Tal El Hay -- Livestream
2:31 PM Spotlight 10 Enriching unsupervised user embedding via medical concepts Xiaolei Huang -- Livestream
2:38 PM Spotlight 26 Multi-task adversarial learning for treatment effect estimation in basket trials Zhixuan Chu -- Livestream
2:45 PM Spotlight 28 Neural Survival Clustering: Non parametric mixture of neural networks for survival clustering Vincent Jeanselme -- Livestream
2:52 PM Spotlight 30 ADCB: An Alzheimer's disease simulator for benchmarking observational estimators of causal effects Newton Mwai Kinyanjui -- Livestream
2:59 PM Spotlight 41 Semi-Markov offline reinforcement learning for healthcare Mehdi Fatemi -- Livestream
3:05 PM Break Sponsored Break -- Gather
3:30 - 4:30 PM Research Roundtable Human centered AI for health and wellness Rosa Arriaga Bobak Mortazavi Gather
3:30 - 4:30 PM Research Roundtable Responsible AI for health Leo Celi Stephen Pfohl Gather
3:30 - 4:30 PM Research Roundtable Social and environmental determinants of health Esra Suel Sanja Šćepanović Gather
4:30 - 4:50 PM Keynote Machine learning for human genetics: A multi-scale view on complex traits and disease Lorin Crawford -- Livestream
4:50 - 5:10 PM Keynote Reducing bias in machine learning systems: Understanding drivers of pain Jure Leskovec -- Livestream
5:10 - 5:30 PM Q&A Panel Q&A with Lorin Crawford and Jure Leskovec Rahul Krishnan Livestream
Time (EDT) Type Title Speaker Moderator
12:00 - 12:10 PM Opening Opening Remarks Joyce Ho -- Livestream
12:10 - 1:10 PM Tutorial Challenges in developing online learning and experimentation algorithms in digital health Walter Dempsey Harvineet Singh Zoom
12:10 - 1:10 PM Tutorial Distributed statistical learning and inference with electronic health records data Rui Duan Jesse Gronsbell Zoom
1:10 PM Spotlight 66 Uncertainty-aware text-to-program for question answering on structured electronic health records Daeyoung Kim -- Livestream
1:17 PM Spotlight 67 Learning unsupervised representations for ICU timeseries Addison Weatherhead -- Livestream
1:24 PM Spotlight 62 How to validate machine learning models prior to deployment: Silent trial protocol for evaluation of real-time models at the ICU Sana Tonekaboni -- Livestream
1:31 PM Spotlight 71 Unifying heterogeneous electronic health records systems via text-based code embedding Kyunghoon Hur -- Livestream
1:38 PM Spotlight 79 Improving the fairness of chest X-ray classifiers Haoran Zhang -- Livestream
1:45 PM Spotlight 81 Context-sensitive spelling correction of clinical text with conditional independence model Juyong Kim -- Livestream
1:52 PM Spotlight 4 MedMCQA : A large-scale multi-subject multi-choice dataset for medical domain question answering Ankit Pal -- Livestream
1:59 PM Spotlight 11 Graph-text multi-modal pre-training for medical representation learning Sungjin Park -- Livestream
2:10 - 2:30 PM Keynote Understanding heterogeneity as a route to understanding health Danielle Belgrave -- Livestream
2:30 - 2:50 PM Keynote Machine learning in public health: Are we there yet? Jessica Tenenbaum -- Livestream
2:50 - 3:10 PM Q&A Panel Q&A with Danielle Belgrave and Jessica Tenenbaum Sherri Rose Livestream
3:10 PM Break Sponsored Break --
3:20 PM Spotlight 31 Data augmentation for electrocardiograms Aniruddh Raghu -- Livestream
3:27 PM Spotlight 58 Real-time seizure detection using EEG: A comprehensive comparison of recent approaches under a realistic setting Kwanhyung Lee -- Livestream
3:34 PM Spotlight 69 Lead-agnostic self-supervised learning for local and global representations of electrocardiogram Jungwoo Oh -- Livestream
3:41 PM Spotlight 54 PhysioMTL: Personalizing physiological patterns using optimal transport multi-task regression Jiacheng Zhu -- Livestream
3:48 PM Spotlight 34 Disability prediction in multiple sclerosis using performance outcome measures and demographic data Subhrajit Roy -- Livestream
3:55 PM Spotlight 45 Identification of subgroups with similar benefits in off-policy policy evaluation Ramtin Keramati -- Livestream
4:02 PM Spotlight 68 Practical challenges in differentially-private federated survival analysis of medical data Shadi Rahimian -- Livestream
4:10 PM Break Break -- Gather
4:20 - 5:20 PM Poster Poster Session Stephanie Hyland Gather
5:20 - 5:30 PM Closing Closing Remarks Tristan Naumann -- Livestream

CHIL Sponsors

Thank you to our 2022 sponsors: HEALTH[at]SCALE (Silver), the Vector Institute (Silver) and Microsoft (Bronze)!