Workshop
Learning from Time Series for Health
Sana Tonekaboni · Thomas Hartvigsen · Satya Narayan Shukla · Gunnar Rätsch · Marzyeh Ghassemi · Anna Goldenberg
Room 392
Fri 2 Dec, 7 a.m. PST
Time series data are ubiquitous in healthcare, from medical time series to wearable data, and present an exciting opportunity for machine learning methods to extract actionable insights about human health. However, huge gap remain between the existing time series literature and what is needed to make machine learning systems practical and deployable for healthcare. This is because learning from time series for health is notoriously challenging: labels are often noisy or missing, data can be multimodal and extremely high dimensional, missing values are pervasive, measurements are irregular, data distributions shift rapidly over time, explaining model outcomes is challenging, and deployed models require careful maintenance over time. These challenges introduce interesting research problems that the community has been actively working on for the last few years, with significant room for contribution still remaining. Learning from time series for health is a uniquely challenging and important area with increasing application. Significant advancements are required to realize the societal benefits of these systems for healthcare. This workshop will bring together machine learning researchers dedicated to advancing the field of time series modeling in healthcare to bring these models closer to deployment.
Schedule
Fri 7:00 a.m. - 7:15 a.m.
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Opening remarks
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In-person intro
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Fri 7:15 a.m. - 7:45 a.m.
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Invited speaker - Yan Liu, USC
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Talk
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Fri 7:45 a.m. - 8:15 a.m.
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Invited speaker - Stephanie Hyland, Microsoft Research UK
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Talk
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SlidesLive Video |
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Fri 8:15 a.m. - 8:30 a.m.
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Coffee break
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Fri 8:30 a.m. - 9:00 a.m.
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Invited speaker - Danielle Belgrave, DeepMind UK
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Talk
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Fri 9:00 a.m. - 9:30 a.m.
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Spotlight talks for poster session I
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Spotlight
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Fri 9:00 a.m. - 9:30 a.m.
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Performance and utility trade-off in interpretable sleep staging
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Spotlight
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SlidesLive Video |
Irfan Al-Hussaini · Cassie Mitchell 🔗 |
Fri 9:00 a.m. - 9:30 a.m.
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Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
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Spotlight
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SlidesLive Video |
Ke Alexander Wang · Matthew Levine · Jiaxin Shi · Emily Fox 🔗 |
Fri 9:00 a.m. - 9:30 a.m.
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Real-world Challenges in Leveraging Electrocardiograms for Coronary Artery Disease Classification
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Spotlight
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SlidesLive Video |
Jessica De Freitas · Alexander Charney · Isotta Landi 🔗 |
Fri 9:00 a.m. - 9:30 a.m.
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Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning
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Spotlight
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SlidesLive Video |
Huiyuan Yang · Han Yu · Akane Sano 🔗 |
Fri 9:00 a.m. - 9:30 a.m.
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Supervised change-point detection with dimension reduction, applied to physiological signals
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Spotlight
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SlidesLive Video |
Charles Truong · Laurent Oudre 🔗 |
Fri 9:00 a.m. - 9:30 a.m.
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An Electrocardiogram-Based Risk Score for Cardiovascular Mortality
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Spotlight
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SlidesLive Video |
John Hughes · David Ouyang · Pierre Elias · James Zou · Euan Ashley · Marco Perez 🔗 |
Fri 9:00 a.m. - 9:30 a.m.
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A Framework for the Evaluation of Clinical Time Series Models
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Spotlight
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SlidesLive Video |
Michael Gao · Jiayu Yao · Ricardo Henao 🔗 |
Fri 9:00 a.m. - 9:30 a.m.
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Fair Multimodal Checklists for Interpretable Clinical Time Series Prediction
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Spotlight
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SlidesLive Video |
Qixuan Jin · Haoran Zhang · Thomas Hartvigsen · Marzyeh Ghassemi 🔗 |
Fri 9:00 a.m. - 9:30 a.m.
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Personalized Dose Guidance using Safe Bayesian Optimization ( Spotlight ) > link | 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Poster Session I
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Poster Session
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Fri 9:30 a.m. - 10:30 a.m.
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Performance and utility trade-off in interpretable sleep staging ( Poster ) > link | Irfan Al-Hussaini · Cassie Mitchell 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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PiRL: Participant-Invariant Representation Learning for Health Care using Wearable Data ( Poster ) > link | Zhaoyang Cao · Han Yu · Huiyuan Yang · Akane Sano 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Dynamic outcomes-based clustering of disease progression in mechanically ventilated patients ( Poster ) > link | Emma Rocheteau · Ioana Bica · Pietro Lió · Ari Ercole 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment Regimes ( Poster ) > link | Adam Dejl · Jonathan Fei · Ardavan Saeedi · Li-wei Lehman 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates ( Poster ) > link | Ke Alexander Wang · Matthew Levine · Jiaxin Shi · Emily Fox 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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A Preliminary Study on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data ( Poster ) > link | Sazia Mahfuz · Farhana Zulkernine 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Joint Point Process Model for Counterfactual Treatment-Outcome Trajectories Under Policy Interventions ( Poster ) > link | Çağlar Hızlı · ST John · Anne Juuti · Tuure Saarinen · Kirsi Pietiläinen · Pekka Marttinen 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Continual Learning on Auxiliary tasks via Replayed Experiences: CLARE ( Poster ) > link | Bohdan Naida · Addison Weatherhead · Sana Tonekaboni · Anna Goldenberg 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Real-world Challenges in Leveraging Electrocardiograms for Coronary Artery Disease Classification ( Poster ) > link | Jessica De Freitas · Alexander Charney · Isotta Landi 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning ( Poster ) > link | Huiyuan Yang · Han Yu · Akane Sano 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Predicting Individual Depression Symptoms from Acoustic Features During Speech ( Poster ) > link | Sebastian Rodriguez · Sri Harsha Dumpala · Katerina Dikaios · Sheri Rempel · Rudolf Uher · Sageev Oore 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Deep Neural Imputation: A Framework for Recovering Incomplete Brain Recordings ( Poster ) > link | Sabera Talukder · Jennifer J Sun · Matthew Leonard · Bingni Brunton · Yisong Yue 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale ( Poster ) > link | Weijie Sun · Sunil Vasu Kalmady · Nariman Sepehrvand · Luan Chu · Zihan Wang · Amir Salimi · Abram Hindle · Russell Greiner · Padma Kaul 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Performative Prediction in Time Series: A Case Study ( Poster ) > link | Rupali Bhati · Jennifer Jones · Audrey Durand 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Supervised change-point detection with dimension reduction, applied to physiological signals ( Poster ) > link | Charles Truong · Laurent Oudre 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Semi-Supervised Learning and Data Augmentation for Wearable-based Health Monitoring System in the Wild ( Poster ) > link | Han Yu · Akane Sano 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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An Electrocardiogram-Based Risk Score for Cardiovascular Mortality ( Poster ) > link | John Hughes · David Ouyang · Pierre Elias · James Zou · Euan Ashley · Marco Perez 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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A Framework for the Evaluation of Clinical Time Series Models ( Poster ) > link | Michael Gao · Jiayu Yao · Ricardo Henao 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Deep-learning-based characterization of glucose biomarkers to identify type 2 diabetes, prediabetes, and healthy individuals ( Poster ) > link | Sina Akbarian · Qayam Jetha · Jouhyun Jeon 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Temporal patterns in insulin needs for Type 1 diabetes ( Poster ) > link | Isabella Degen · Zahraa Abdallah 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Fair Multimodal Checklists for Interpretable Clinical Time Series Prediction ( Poster ) > link | Qixuan Jin · Haoran Zhang · Thomas Hartvigsen · Marzyeh Ghassemi 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Deep Fitness Inference for Drug Discovery with Directed Evolution ( Poster ) > link | Nathaniel Diamant · Ziqing Lu · Christina Helmling · Kangway Chuang · Christian Cunningham · Tommaso Biancalani · Gabriele Scalia · Max Shen 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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On the Importance of Clinical Notes in Multi-modal Learning for EHR Data ( Poster ) > link | Severin Husmann · Hugo Yèche · Gunnar Rätsch · Rita Kuznetsova 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Personalized Dose Guidance using Safe Bayesian Optimization ( Poster ) > link | 🔗 |
Fri 9:30 a.m. - 10:30 a.m.
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Dissecting In-the-Wild Stress from Multimodal Sensor Data ( Poster ) > link | 🔗 |
Fri 10:30 a.m. - 11:30 a.m.
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Mentorship Lunch Break
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Fri 11:30 a.m. - 12:00 p.m.
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Invited speaker - David Sontag, MIT
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Talk
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SlidesLive Video |
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Fri 12:00 p.m. - 12:30 p.m.
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Invited speaker - Emily Fox, Stanford
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Talk
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SlidesLive Video |
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Fri 12:30 p.m. - 1:00 p.m.
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Spotlight talks for poster session II
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Spotlight
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Fri 12:30 p.m. - 1:00 p.m.
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Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels
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Spotlight
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link
SlidesLive Video |
Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes 🔗 |
Fri 12:30 p.m. - 1:00 p.m.
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Time-constrained decision making in deceased donor kidney allocation
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Spotlight
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link
SlidesLive Video |
Nikhil Agarwal · Itai Ashlagi · Grace Guan · Paulo Somaini · Jiacheng Zou 🔗 |
Fri 12:30 p.m. - 1:00 p.m.
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Unsupervised Deep Metric Learning for the inference of hemodynamic value with Electrocardiogram signals
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Spotlight
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SlidesLive Video |
Hyewon Jeong · Marzyeh Ghassemi · Collin Stultz 🔗 |
Fri 12:30 p.m. - 1:00 p.m.
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Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks
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Spotlight
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SlidesLive Video |
Yuhang Li · Ruokai Yin · Hyoungseob Park · Youngeun Kim · Priyadarshini Panda 🔗 |
Fri 12:30 p.m. - 1:00 p.m.
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Sleep and Activity Prediction for Type 2 Diabetes Management using Continuous Glucose Monitoring
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Spotlight
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link
SlidesLive Video |
Kimmo Karkkainen · Gregory Lyng · Brian Hill · Kailas Vodrahalli · Jeffrey Hertzberg · Eran Halperin 🔗 |
Fri 12:30 p.m. - 1:00 p.m.
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Contrastive Pre-Training for Multimodal Medical Time Series
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Spotlight
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SlidesLive Video |
Aniruddh Raghu · Payal Chandak · Ridwan Alam · John Guttag · Collin Stultz 🔗 |
Fri 12:30 p.m. - 1:00 p.m.
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Dynamic Survival Transformers for Causal Inference with Electronic Health Records
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Spotlight
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SlidesLive Video |
Prayag Chatha · Yixin Wang · Zhenke Wu · Jeffrey Regier 🔗 |
Fri 12:30 p.m. - 1:00 p.m.
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sEHR-CE: Language modelling of structured EHR data for efficient and generalizable patient cohort expansion
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Spotlight
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link
SlidesLive Video |
Anna Munoz-Farre · Harry Rose · Aylin Cakiroglu 🔗 |
Fri 12:30 p.m. - 1:00 p.m.
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Modeling MRSA decolonization: Interactions between body sites and the impact of site-specific clearance ( Spotlight ) > link | 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Poster Session II - Coffee break
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Poster Session
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Fri 1:00 p.m. - 2:00 p.m.
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Continuous Time Evidential Distributions for Processing Irregular Time Series ( Poster ) > link | Taylor Killian · Ava Soleimany 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Prediction-Constrained Markov Models for Medical Time Series with Missing Data and Few Labels ( Poster ) > link | Preetish Rath · Gabe Hope · Kyle Heuton · Erik Sudderth · Michael Hughes 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Time-constrained decision making in deceased donor kidney allocation ( Poster ) > link | Nikhil Agarwal · Itai Ashlagi · Grace Guan · Paulo Somaini · Jiacheng Zou 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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An SNN Based ECG Classifier For Wearable Edge Devices ( Poster ) > link | Dighanchal Banerjee · Sounak Dey · Arpan Pal 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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DeepJoint: Robust Survival Modelling Under Clinical Presence Shift ( Poster ) > link | Vincent Jeanselme · Glen Martin · Niels Peek · Matthew Sperrin · Brian Tom · Jessica Barrett 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Are you asleep when your phone is asleep? Semi-supervised methods to infer sleep from smart devices ( Poster ) > link | PRIYANKA MARY MAMMEN · Prashant Shenoy 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Unsupervised Deep Metric Learning for the inference of hemodynamic value with Electrocardiogram signals ( Poster ) > link | Hyewon Jeong · Marzyeh Ghassemi · Collin Stultz 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Multi-modal 3D Human Pose Estimation using mmWave, RGB-D, and Inertial Sensors ( Poster ) > link | Sizhe An · Yin Li · Umit Ogras 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks ( Poster ) > link | Yuhang Li · Ruokai Yin · Hyoungseob Park · Youngeun Kim · Priyadarshini Panda 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Automatic Sleep Scoring from Large-scale Multi-channel Pediatric EEG ( Poster ) > link | Harlin Lee · Aaqib Saeed 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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SurviVAEl: Variational Autoencoders for Clustering Time Series ( Poster ) > link | Stefan Groha · Alexander Gusev · Sebastian Schmon 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Generalizable Semi-supervised Learning Strategies for Multiple Learning Tasks using 1-D Biomedical Signals ( Poster ) > link | Luca Cerny Oliveira · Zhengfeng Lai · Heather Siefkes · Chen-Nee Chuah 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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MAEEG: Masked Auto-encoder for EEG Representation Learning ( Poster ) > link | Sherry Chien · Hanlin Goh · Christopher Sandino · Joseph Cheng 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Sleep and Activity Prediction for Type 2 Diabetes Management using Continuous Glucose Monitoring ( Poster ) > link | Kimmo Karkkainen · Gregory Lyng · Brian Hill · Kailas Vodrahalli · Jeffrey Hertzberg · Eran Halperin 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Inferring mood disorder symptoms from multivariate time-series sensory data ( Poster ) > link | Bryan Li · Filippo Corponi · Gerard Anmella · Ariadna Mas Musons · Miriam Sanabra · Diego Hidalgo-Mazzei · Antonio Vergari 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Contrastive Learning of Electrodermal Activity Representations for Stress Detection ( Poster ) > link | Katie Matton · Robert Lewis · John Guttag · Rosalind Picard 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Contrastive Pre-Training for Multimodal Medical Time Series ( Poster ) > link | Aniruddh Raghu · Payal Chandak · Ridwan Alam · John Guttag · Collin Stultz 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Identifying Structure in the MIMIC ICU Dataset ( Poster ) > link | Qi Qi Chin 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Improving Counterfactual Explanations for Time Series Classification Models in Healthcare Settings ( Poster ) > link | Tina Han · Jette Henderson · Pedram Akbarian Saravi · Joydeep Ghosh 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Contactless Oxygen Monitoring with Gated Transformer ( Poster ) > link | Hao He · Yuan Yuan · Yingcong Chen · Peng Cao · Dina Katabi 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Dynamic Survival Transformers for Causal Inference with Electronic Health Records ( Poster ) > link | Prayag Chatha · Yixin Wang · Zhenke Wu · Jeffrey Regier 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Modeling Heart Rate Response to Exercise with Wearables Data ( Poster ) > link | Achille Nazaret · Sana Tonekaboni · Gregory Darnell · Shirley Ren · Guillermo Sapiro · Andrew Miller 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Adversarial Masking for Pretraining ECG Data Improves Downstream Model Generalizability ( Poster ) > link | Jessica Yi Fei Bo · Hen-Wei Huang · Alvin Chan · Giovanni Traverso 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Masked Autoencoder-Based Self-Supervised Learning for Electrocardiograms to Detect Left Ventricular Systolic Dysfunction. ( Poster ) > link | Shinnosuke Sawano · Satoshi Kodera · Hirotoshi Takeuchi · Issei Sukeda · Susumu Katsushika · Issei Komuro 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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sEHR-CE: Language modelling of structured EHR data for efficient and generalizable patient cohort expansion ( Poster ) > link | Anna Munoz-Farre · Harry Rose · Aylin Cakiroglu 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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FastCPH: Efficient Survival Analysis for Neural Networks ( Poster ) > link | Xuelin Yang · Louis F Abraham · Sejin Kim · Petr Smirnov · Feng Ruan · Benjamin Haibe-Kains · Robert Tibshirani 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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Modeling MRSA decolonization: Interactions between body sites and the impact of site-specific clearance ( Poster ) > link | 🔗 |
Fri 1:00 p.m. - 2:00 p.m.
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A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding ( Poster ) > link | 🔗 |
Fri 2:00 p.m. - 3:00 p.m.
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Panel Discussion: Challenges and lessons learned in deploying ML time series models
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Discussion Panel
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SlidesLive Video |
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Fri 2:45 p.m. - 3:00 p.m.
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Closing Remarks
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In-person remarks
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