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Call for Papers - Personal Health Knowledge Graph Workshop

From: Oshani Seneviratne <oshanis@gmail.com>
Date: Mon, 17 Feb 2020 16:55:21 -0500
Message-ID: <CAB00oM=rzyRtA7pSN=wLRH6h++-0DvNABYkMVxncMY1ZYjyDcg@mail.gmail.com>
To: Semantic Web <semantic-web@w3.org>
We invite submissions to the Personal Health Knowledge Graph Workshop at
the Knowledge Graph Conference. The workshop will be held on Tuesday, May
5, 2020, from 9 am - 5 pm at Columbia University, New York, USA.

== About the Personal Health Knowledge Graph Workshop ==
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) and 'observations of daily living' (ODLs) 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 and how they may be made specifically for health, 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 three 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 Guidelines ==
Please submit your abstracts at
https://easychair.org/conferences/?conf=phkg2020.

== Publication ==
All workshop proceedings will be published on CEUR-WS.

== Important Dates ==
 * March 16, 2020 - Abstracts due
 * April 3, 2020 - Acceptance notifications
 * April 17, 2020 - Camera-ready abstracts due
 (all deadlines are midnight AoE)

== Organizing Committees ==
 * Ching-Hua Chen (IBM Research)
 * Amar Das (IBM Research)
 * Ying Ding (University of Texas)
 * Deborah McGuinness (Rensselaer Polytechnic Institute)
 * Oshani Seneviratne (Rensselaer Polytechnic Institute)
 * Mohammed Zaki (Rensselaer Polytechnic Institute)

For more information, please see https://easychair.org/cfp/PHKG2020.
Received on Monday, 17 February 2020 21:55:46 UTC

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