BIDS-BCHSI Research Xchange Forum — Special Kickoff Event
Date: Monday, November 2, 2020
Time: 1:30-4:00 PM Pacific Time
Location: Virtual Participation
Register to receive the virtual access links.
The BIDS-BCHSI Research Xchange Forum will kick off with this special event on November 2. Participants will be introduced to the Innovate For Health Data Science Health Innovation Fellowship, including the 2019-2021 I4H Fellows and 2020-2022 I4H Fellows, and hear about how research teams at UC Berkeley, UCSF, and Johnson & Johnson created this program to bring together experienced data scientists with academic and industry researchers to tackle challenging problems in healthcare through data-driven approaches.
1:30-1:40 PM — Welcome and I4H Introduction — I4H Co-Directors
— Emma Huang, Johnson & Johnson Innovation
— Karla Lindquist, UCSF
— Maryam Vareth, UC Berkeley and UCSF
1:40-1:50 PM — BIDS Introduction — David Mongeau, BIDS Executive Director
1:50-2:00 PM — BCHSI Introduction — Atul Butte, BCHSI Director
2:00-2:30 PM — New Fellows Introductions — 2020-2022 I4H Fellows
2:30-3:00 PM — Lightning Talks — 2019-2021 I4H Fellows
— Algorithmic Stewardship — Steph Eaneff, 2019-2021 I4H Fellow
— Using Biomedical Knowledge Graphs for Medical Diagnosis Prediction — Lowry Kirkby, 2019-2021 I4H Fellow
— Social Medicine Data Storytelling & Clinician Burnout — Laurens Kraal, 2019-2021 I4H Fellow
3:00-3:45 PM — Research Talk
— A consolidated framework for generating and validating synthetic, structured electronic health record data — Haley Hunter-Zinck, 2019-2021 I4H Fellow
Abstract: Synthetic data, data that mimics realistic patterns but does not correspond to actual data records, has the potential to provide high utility datasets while preserving privacy of contributors to real datasets. This concept is especially relevant to sensitive data such as patient electronic health records. Here, we use adapted generative adversarial networks to produce synthetic structured electronic health record data. We introduce data transformation procedures to generate categorical and numerical data simultaneously and review validation procedures for both realism and privacy preservation in the synthetic datasets. To improve usability, all preprocessing, training, generation, and validation is consolidated in an open-source software package. Finally, we demonstrate generalizability and utility of the approach by training synthetic data generators on three separate healthcare system datasets for the purpose of training predictive models for clinical outcomes with synthetic data.
3:45-4:00 PM — Closing Remarks — I4H Co-Directors
4:00-4:30 PM — Social/Networking (Optional)
The BIDS-BCHSI Research Xchange Forum is an open discussion platform for the interdisciplinary exchange of ideas and research projects at the intersection of healthcare and data science. Participants are invited to engage in a variety of activities, including presentations of work-in-progress, discussions and critiques of recent papers and AI methods in healthcare, introductions to new tools and methods, and opportunities to foster new collaborations. Invited speakers include leading voices in AI and Healthcare, and active conversations invite participants to share fresh perspectives. Clinicians and physicians with an interest in data science methods and tools, as well as data science faculty and researchers with applications or interests in the healthcare and health sciences, are welcome and encouraged to participate. Regular participants will also include the I4H Fellows, as well as post-docs, staff, and faculty from UC Berkeley, UCSF, and Johnson & Johnson. The immediate goals of this Forum are to share our current research projects with a wider audience, and to increase engagement and improve communication among the three host organizations. Meetings will be held virtually on the first Monday of each month at 12:30-1:30 PM Pacific Time, and interested members of the UC Berkeley, UCSF, and Johnson & Johnson communities are invited to sign up for our mailing list to receive upcoming individual webinars. Please contact InnovateForHealth@berkeley.edu for more information.