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Workshop Personal Health Knowledge Graphs - Part 1

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 remained limited. For this reason, the addition of social determinants of health (SDoH) [1] and ‘observations of daily living’ (ODL) [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.
May 5th 2020, 9am EST

Senior Director, Nutrition and Dietetics Data Science Center at Academy of Nutrition and Dietetics

Constantina Papoutsakis, PhD, RD is Senior Director, Nutrition and Dietetics Data Science Center of the Academy (Academy of Nutrition and Dietetics) where she oversees the Nutrition Care Process, ANDHII, an Informatics areas of RISA (Research International and Scientific Affairs). She chairs the Professional Practice Committee of EFAD (European Federation of Associations of Dietitians) and is a member of EFAD’s Executive Committee. Prior to joining the Academy as staff, Dr. Papoutsakis chaired the NCP International Workgroup of the Academy. She has lead initiatives to monitor best practices among dietitians internationally with emphasis on the Nutrition Care Process Terminology (NCPT). She has lectured and organized workshops for health professionals and university students in several countries in Europe, Asia, and the US.Since1994, Dr. Papoutsakis has taught university courses, worked as a clinical dietitian and researcher, served as a clinical and managerial expert of NIH funded cancer randomized clinical trials, and published widely on nutrition/dietetic topics. The emphasis of her research is on the impact of nutrition in chronic disease outcomes. Her most recent accepted publication is the update of the Nutrition Care Process Model.

Deborah McGuinness


Tetherless World Senior Constellation Chair and Professor at RPI and CEO McGuinness Associates Consulting

Tetherless World Senior Constellation Chair and Professor at RPI and CEO McGuinness Associates Consulting

Nidhi Rastogi


Research Scientist at Rensselaer Polytechnic Institute

Dr. Nidhi Rastogi is a Research Scientist at Rensselaer Polytechnic Institute (RPI), NY and works at the intersection of Artificial Intelligence, Cybersecurity, Social and Computer Networks, Graph Analytics, and data Privacy. Her research topics include Patient health analytics, AI for Threat modeling, and Insider threat detection. For her contributions to the field of security and encouraging women in STEM ad security, Dr. Rastogi was recognized in 2020 as an International Women in Cybersecurity by the Cyber Risk Research Institute, USA. She’s presented at SANS Security for over 7000 attendees. Dr. Rastogi also worked in the industry on heterogeneous wireless networks (cellular, 802.1x, 802.11) and network security through engineering and research positions at Verizon, and by consulting at GE. Dr. Rastogi has a Ph.D. in Computer Science with focus on Cybersecurity from RPI, and a Masters in Science from University of Cincinnati, Ohio. In her free time, she loves to spend time with her family engaging in outdoor activities like running, biking, hiking and traveling.

Oshani Seneviratne


Director of Health Data Research, The Rensselaer IDEA

Director of Health Data Research, The Rensselaer IDEA

Sola Shirai


Doctoral Student at Rensselaer Polytechnic Institute

Sola Shirai is a Ph. D student in Computer Science at Rensselaer Polytechnic Institute. He received his bachelors degree in computer science and data science from Worcester Polytechnic Institute. His current research involves ingredient substitutions for improving personal health in the HEALS (Health Empowerment by Analytics, Learning, and Semantics) project. His research interests include the semantic web, explainable AI, NLP, and personalization.

D - Workshops


Workshops on Knowledge Graphs for Social Good and Personal Health Knowledge Graphs

May 4-7, 2020


Knowledge Graphs form an organized and curated set of facts that provide support for models to help understand the world. This conference gathers technology leaders, researchers, academics, vendors — and most importantly, practitioners, who know the discipline. For KGC 2020, attendees can participate from wherever they want in the world, from the comfort of their homes. We will stream the content, provide access to our speakers and support chat and networking as well as give access to all of the content live and on-demand after the event.

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Knowledge Graphs for Social Good