Call for Papers

NIPS 2016 Workshop on Machine Learning for Health (NIPS ML4HC)
A workshop at the Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2016)
Barcelona, Spain
Fri Dec 9th 08:00 AM -- 06:30 PM 

Please submit your 2-4 page abstracts/papers by 
Monday October 31st, 2016 23:00 GMT

Please direct questions to:

  • Sept 22, 2016: NIPS ML4HC Travel Award Submission Deadline
  • Sept 1 - Oct 1, 2016: Early Submission (for travel award applicants)
  • Oct 3, 2016: Early Submission Acceptance Notification (coinciding with NIPS Early Registration Deadline)
  • Oct 28, 2016: Submission Deadline
  • Oct 31, 2016: Submission Deadline Extension
  • Nov 15, 2016: Acceptance Notification
  • Dec 1, 2016: Camera ready papers due
  • Dec 9, 2016: Workshop date

The last decade has seen unprecedented growth in the availability and size of digital health data, including electronic health records, genetics, and wearable sensors. These rich data sources present opportunities to develop and apply machine learning methods to enable precision medicine. The aim of this workshop is to engender discussion between machine learning and clinical researchers about how statistical learning can enhance both the science and the practice of medicine.


We will invite submission of 2 - 4 page abstracts (not including references) for poster contributions and short oral presentations describing innovative machine learning research on relevant clinical problems and data. Topics of interest include but are not limited to:
  • Models for diseases and clinical data
  • Temporal models
  • Markov decision processes for clinical decision support
  • Multi­scale data-­integration
  • Modeling with missing or biased data
  • Learning with non-stationary data
  • Uncertainty and uncertainty propagation, non i.i.d. structure in the data
  • Critique of models
  • Causality
  • Model biases
  • Transfer learning
  • Incorporation of non-clinical (e.g., socioeconomic) factors


Part of our workshop includes a clinician pitch, a five-minute presentation of open clinical problems that need data-driven solutions. These presentations will be followed by a discussion between invited clinicians and attending ML ­researchers to understand how machine learning can play a role in solving the problem presented. Finally, the pitch plays a secondary role of enabling new collaborations between machine learning researchers and clinicians: an important step for machine learning to have a meaningful role in healthcare.


Researchers interested in contributing should upload their short paper of 2 - 4 pages in PDF format to the MLCB submission web site:

by October 28, 2016, 11:59pm (time zone of your choice).

Authors should use the NIPS style file, and submissions should be suitably anonymized and meet the requirements for double-blind reviewing. Send any questions to

All submissions will be anonymously peer reviewed and will be evaluated on the basis of their technical content. The workshop allows submissions of papers that are under review or have been recently published in a conference or a journal. Authors should state any overlapping published work at time of submission.