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Fri Dec 11 06:00 AM -- 06:10 AM (PST)
Opening Remarks
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fri Dec 11 06:10 AM -- 06:30 AM (PST)
Noémie Elhadad: Large scale characterization for health equity assessment
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Noemie Elhadad
Fri Dec 11 06:30 AM -- 06:50 AM (PST)
Mark Dredze: Reducing Health Disparities in the Future of Medicine
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Mark Dredze
Fri Dec 11 06:50 AM -- 07:25 AM (PST)
Panel with Noémie Elhadad and Mark Dredze
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fri Dec 11 07:25 AM -- 07:40 AM (PST)
Break
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fri Dec 11 07:40 AM -- 08:00 AM (PST)
Sponsor remarks: Modeling Pan-tumor, Personalized Healthcare Insights in a Multi-modal, Real-world Oncology Database with Sarah McGough
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fri Dec 11 08:00 AM -- 08:10 AM (PST)
Spotlight A-1: "ML4H Auditing: From Paper to Practice"
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Luis Oala
Fri Dec 11 08:10 AM -- 08:20 AM (PST)
Spotlight A-2: "The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions"
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Sharut Gupta
Fri Dec 11 08:20 AM -- 08:30 AM (PST)
Spotlight A-3: "DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds"
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fabian Laumer
Fri Dec 11 08:30 AM -- 09:30 AM (PST)
Poster session A
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fri Dec 11 09:30 AM -- 12:30 PM (PST)
Lunch
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fri Dec 11 12:30 PM -- 12:50 PM (PST)
Judy Gichoya: Operationalising Fairness in Medical Algorithms: A grand challenge
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Judy Gichoya
Fri Dec 11 12:50 PM -- 01:10 PM (PST)
Ziad Obermeyer: Explaining Pain Disparities
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Ziad Obermeyer
Fri Dec 11 01:10 PM -- 01:45 PM (PST)
Panel with Judy Gichoya and Ziad Obermeyer
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fri Dec 11 01:45 PM -- 01:55 PM (PST)
Spotlight B-1: "A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses"
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Claire Donnat
Fri Dec 11 01:55 PM -- 02:05 PM (PST)
Spotlight B-2: "Assessing racial inequality in COVID-19 testing with Bayesian threshold tests"
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Emma Pierson
Fri Dec 11 02:05 PM -- 02:15 PM (PST)
Spotlight B-3: "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network"
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Neeraj Wagh
Fri Dec 11 02:15 PM -- 03:15 PM (PST)
Poster session B
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fri Dec 11 03:15 PM -- 03:30 PM (PST)
Break
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fri Dec 11 03:30 PM -- 03:50 PM (PST)
Andrew Ng: Practical limitations of today's deep learning in healthcare
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Andrew Ng
Fri Dec 11 03:50 PM -- 04:10 PM (PST)
Panel with Andrew Ng
In Machine Learning for Health (ML4H): Advancing Healthcare for All
Fri Dec 11 04:10 PM -- 04:20 PM (PST)
Closing remarks
In Machine Learning for Health (ML4H): Advancing Healthcare for All