Announcements

12 July: Our pre-recorded invited speaker and spotlight paper talks are now available to watch online! You must have an ICML registration to access to this material on the ICML schedule here.

27 June: Accepted papers announced! See here.

4 June: Due to our clash with the updated NeurIPS submission deadline, we are extending our deadline to Monday June 8.

17 May: Paper submission deadline postponed to June 5!

13 May: We've posted our list of speakers!

ICML 2020 has been made into a virtual conference. See the organizers' letter here. Our plans for the format of this workshop will evolve along with the plans for the overall conference, but in the meantime, the ICLR guidelines will give us a good idea of what to expect.

Workshop Summary

A person’s health is determined by a variety of factors beyond those captured by electronic health records or the genome. Many healthcare organizations recognize the importance of the social determinants of health (SDH) such as socioeconomic status, employment, food security, education, and community cohesion. Capturing such comprehensive portraits of patient data is necessary to transform a healthcare system and improve population health while simultaneously delivering personalized healthcare provisions. Innovations in health-tech via wearable devices and mobile health, among others, provide rich sources of data characterizing SDH, and machine learning (ML) is well-positioned to transform system-level healthcare through the design of intelligent algorithms incorporating this data into clinical and policy interventions, such as population health programs and clinical decision support systems. The guiding metric of success is health outcomes: the improvement of health and care at both the individual and population levels.

COVID-19: This workshop comes at a challenging time for healthcare providers and researchers, as we collectively grapple with the COVID-19 situation. We know that the ML community has been working hard, trying to help as best we can. This workshop presents a great opportunity for us to showcase the work being done by members of our community.

This workshop will identify the needs of system-level healthcare transformation that ML may satisfy. We will bring together ML researchers, health policy practitioners, clinical organization experts, and individuals from all areas of clinic, hospital, and community-based healthcare.