ML4H 2020 invites submissions describing innovative machine learning research focused on relevant problems in health and biomedicine. Similar to last year, ML4H 2020 will both accept papers for a formal proceedings and accept traditional, non-archival extended abstract submissions. Authors are invited to submit works for either track provided the work fits within the purview of Machine Learning for Health.
In addition, we especially solicit works that speak to this year’s ML4H theme: Advancing Healthcare for All, such as work which explores any of the following topics:
- Accessible diagnostic and prognostic systems
- Health equity
- Fairness and bias in machine learning systems
- Generalisation across populations or systems
- Improving patient participation in health
- Augmenting and supporting the capabilities of healthcare workers
- Rare or underserved diseases
- Democratising ML4H research
- Non-traditional delivery of healthcare
We are also piloting mentorship programs for authors and reviewers, and, for the first time, hosting several awards for high quality submissions and reviews! See workshop website for the full CFP and more details, and please direct any questions to: ml4h.workshop.neurips.2020 [at] gmail.com
Important Dates
- Monday, Sep. 28 AoE: Submission Title/Summary Paragraph Deadline
- Friday, Oct. 2: Submission Deadline
- Friday, Oct. 16: Reviews Due
- Tuesday, Oct. 20: Limited Author Response Deadline
- Wednesday, Oct. 28th: Final Decisions Released
- Friday or Saturday, Dec 11-12, 2020: Virtual Workshop