The Personal Health Knowledge Graph Workshop at Knowledge Graph Conference

Tuesday, May 5, 2020

9am - 5pm

Venue: Room 203, Butler Library, Columbia University

Submission Guidelines

Electronic health records (EHRs) have become a popular source of observational health data for learning insights that could inform the treatment of acute medical conditions. Their utility for learning insights for informing preventive care and management of chronic conditions however, has remain limited. For this reason, the addition of social determinants of health (SDoH) [1] and ‘observations of daily living’ (ODLs) [2] to the EHR have been proposed. This combination of medical, social, behavioral and lifestyle information about the patient is essential for allowing medical events to be understood in the context of one’s life and conversely, allowing lifestyle choices to be considered jointly with one’s medical context; it would be generated by both patients and their providers and potentially useful to both for decision-making. We propose that the personal health knowledge graph is a semantic representation of a patient’s combined medical records, SDoH and ODLs. While there are some initial efforts to clarify what personal knowledge graphs are [3] and how they may be made specific for health [4, 5], there is still much to be determined with respect to how to operationalize and apply such a knowledge graph in life and in clinical practice. There are challenges in collecting, managing, integrating, and analyzing the data required to populate the knowledge graph, and subsequently in maintaining, reasoning over, and sharing aspects of the knowledge graph. Importantly, we recognize that it would not be fruitful to design a universal personal health knowledge graph, but rather, to be use-case driven. In this workshop, we aim to gather health practitioners, health informaticists, knowledge engineers, and computer scientists working on defining, building, consuming, and integrating personal health knowledge graphs to discuss the challenges and opportunities in this nascent space

The objectives of this workshop will be to provide a platform to discuss:

• Definitions of personal health knowledge graphs
• Opportunities for the application of personal health knowledge graphs
• Challenges of creating and maintaining a personalized health knowledge graph
• Opportunities for knowledge graph research in this space

Submitted extended abstracts should not exceed 3 pages, including references and figures. The submission must be in single-column (full page) format, with at least 1-inch margins, and font size of 11pt (times roman) or higher.

List of Topics

• Applications of personal health knowledge graphs
• Real-world use cases
• Models to encode the relevant information in a personal health knowledge graph
• Perspectives on personal health
• Interoperability aspects when integrating personal health data from disparate sources
• Reasoning and querying over a personal health knowledge graph
• Adaptively contextualizing personal health knowledge graphs
• Techniques for keeping personal health knowledge graphs current
• Ensuring privacy and security for a personal health knowledge graph

Submission

Please submit your abstracts at https://easychair.org/conferences/?conf=phkg2020.

Committees

Organizing committee

• Ching-Hua Chen (IBM Research)
• Amar Das (IBM Research)
• Ying Ding (University of Texas)
• Deborah McGuinness (Rensselaer)
• Oshani Seneviratne (Rensselaer)
• Mohammed Zaki (Rensselaer)

Program Committee

• Chen Bin (Michigan State University)
• Shruthi Chari (Rensselaer)
• James Codella (IBM)
• Morgan Foreman (IBM)
• Dan Gruen (IBM)
• Jon Harris (Rensselaer)
• Jim McCusker (Rensselaer)
• Sabbir Rashid (Rensselaer)
• Nidhi Rastogi  (Rensselaer)
• Justin Rousseau(Dell Med, UT Austin)
• Abhik Seal (Abbvie)
• Juan Sequeda (data.world)
• Sola Shirai (Rensselaer)

Publication

All workshop proceedings will be published on CEUR-WS.

Important Dates

Important Dates (all deadlines are midnight AoE)

• March 30, 2020 - Extended Abstracts due (deadline extended)
• April 3, 2020 - Acceptance notifications
• April 17, 2020 - Camera-ready abstracts due

[1] Crews DC Ross D Adler N Diez Roux AV, Katz M. Social and behavioral information in electronichealth records: New opportunities for medicine and public health.American Journal of PreventiveMedicine, 49:980–3, 2015.[2] Uba Backonja, Katherine Kim, Gail R Casper, Timothy Patton,Edmond Ramly, and Patricia FlatleyBrennan. Observations of daily living: putting the “personal” in personal health records.AmericanMedical Informatics Association, 2012, 2012.[3] Krisztian Balog and Tom Kenter. Personal knowledge graphs: A research agenda. InProceedings ofthe 2019 ACM SIGIR International Conference on Theory of Information Retrieval, pages 217–220, 2019[4] Amelie Gyrard, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, and Amit Sheth.Personalized health knowledge graph.http://knoesis.org/sites/default/files/personalized-asthma-obesity,20(2814):29, 2018.[5] Tania Bailoni, Mauro Dragoni, Claudio Eccher, Marco Guerini, and Rosa Maimone. Perkapp: Acontext aware motivational system for healthier lifestyles. In2016 IEEE International Smart CitiesConference (ISC2), pages 1–4. IEEE, 2016