Health Informatics

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Lead Professor: Deborah L. McGuinness


Health informatics is "the interdisciplinary study of the design, development, adoption and application of IT-based innovations in healthcare services delivery, management and planning." Procter, R. Dr. (Editor, Health Informatics Journal, Edinburgh, United Kingdom). (From the U.S. National Library of Medicine)

CHEAR Project LogoChild Health Exposure Analysis Repository (CHEAR)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Kristin Bennett
Description: Child Health Exposure Analysis Repository Data Science Semantics
Health Data Challenge (HealthData)
Principal Investigator: Jim Hendler and Deborah L. McGuinness
Co Investigator: Kristine Gloria, Alvaro Graves, Tim Lebo, and Jamie McCusker
Description: An infrastructure for large-scale collaboration around aggregation, generation, and publication of health-related Linked Data.
Health on the Web
Principal Investigator: Joanne S. Luciano and Deborah L. McGuinness
Description: The Tetherless World Constellation's Health on the Web's primary goal is to explore the next generation web technology needed to improve health.
Mobile Health Project LogoMobile Health
Principal Investigator: Deborah L. McGuinness
Description: The Mobile Health project aims to bring semantic representations of medical data collected from a variety of consumer and medical grade devices and integrate those data on an individual's mobile smartphone. Combined with the reasoning capabilities of semantic web and technologies such as IBM Watson, this project plans to enable personalized health care through the instrumented self.
PopSciGrid LogoPopulation Science Grid (PopSciGrid)
Principal Investigator: Deborah L. McGuinness
Description: The National Cancer Institute’s (NCI) PopSciGrid Community Health Portal is an evolving platform demonstrating how health behavior, policy, and demographic data can be integrated, visualized, and communicated to empower communities and support new avenues of research and policy for cancer prevention and control. As a proof of concept for cyber-enabled population health research, the PopSciGrid Portal is designed to encourage trans-disciplinary collaboration, data harmonization, and development of new computational methods for disparate health related data.
Repurposing Drugs with Semantics (ReDrugS)
Principal Investigator: Jonathan Dordick and Deborah L. McGuinness
Description: We aim to find new effective treatments for disease using existing drugs. Our approach is to gather and integrate existing data using semantic technologies to help discover promising drug repurposing.
SemNExT LogoSemantic Numeric Exploration Technology (SemNExT)
Principal Investigator: Deborah L. McGuinness and Kristin Bennett
Description: SemNExT combines numeric analysis of data with semantic understanding and explanation technologies to provide a holistic means of exploring robust datasets.
TAF LogoThe Asthma Files (TAF)
Principal Investigator: Michael Fortun
Co Investigator: Kim Fortun and Peter Fox
Description: The Asthma Files is an electronic archive of text, still images, video and audio that illustrate multiple perspectives on asthma-- from the vantage point of affected people in different locales and communities, heath care providers, and scientists from many different disciplines.
Chari, S., Weerawarana, R., Seneviratne, O., McCusker, J., McGuinness, D.L., and Das, A. . Semantic Modeling of Cohort Descriptions in Research Studies. In Proceedings of AMIA 2018 Annual Symposium (November 3-7 2018, San Francisco).
Seneviratne, O., Rashid, S.M., Chari, S., Bennett, K., Hendler, J., and McGuinness, D.L. . Knowledge Integration for Disease Characterization: A Breast Cancer Example. In Proceedings of International Semantic Web Conference (ISWC) 2018 (October 8-12 2018, Monterey, CA, USA).
Stingone, J.A., Mervish, N.A., Kovatch, P., McGuinness, D.L., Gennings, C., and Teitelbaum, S.L. . Big and Disparate Data: Considerations for Pediatric Consortia. Current Opinion in Pediatrics
McCusker, J., Rashid, S.M., Liang, J., Liu, Y., Chastain, K., Pinheiro, P., Stingone, J.A., and McGuinness, D.L. . Broad, Interdisciplinary Science In Tela: An Exposure and Child Health Ontology. In Proceedings of 9th International ACM Web Science Conference 2017 (June 26-28 2017, Troy, NY, USA).
Bennett, K., Brown, E., De los Santos, H., Poegel, M., Kiehl, T.R., Patton, E.W., McGuinness, D.L., Temple, S., and Boles, N. . Window of Susceptibility for Zika-Induced Microcephaly Identified by Temporal Gene Analysis.
McCusker, J., Dumontier, M., Yan, R., He, S., Dordick, J., and McGuinness, D.L. . Finding melanoma drugs through a probabilistic knowledge graph. PeerJ Computer Science
Kovatch, P., McGuinness, D.L., Gennings, C., and Teitelbaum, S.L. . Accelerating Child Health Exposure Research with the CHEAR Data Center. In Proceedings of International Society of Exposure Science(ISES) (October 9-13 2016, Utrecht, The Netherlands).
Kovatch, P., McGuinness, D.L., Gennings, C., and Teitelbaum, S.L. . Lessons Learned from the Children’s Health Exposure Analysis Resource (CHEAR) Data Center. In Proceedings of International Society of Environmental Epidemiology (ISEE) (September 1-4 2016, Rome, Italy).
Erickson, J.S., McGuinness, D.L., Bennett, K., and Sheehan, J. . Addressing Scientific Rigor in Data Analytics using Semantic Workflows. In Proceedings of International Provenance and Annotation Workshop (IPAW) 2016 (June 6-9 2016, McLean, Virginia).
McCusker, J., McGuinness, D.L., Lee, J., Thomas, C., Courtney, P., Tatalovich, Z., Contractor, N., Morgan, G.D., and Shaikh, A.R. . Towards Next Generation Health Data Exploration: A Data Cube-based Investigation into Population Statistics for Tobacco. In Proceedings of Hawaii International Conference on System Sciences 2013 (January 7-10 2013, Grand Wailea, Maui, Hawaii).
McCusker, J., Lebo, T., Chang, C., Pinheiro, P., and McGuinness, D.L. . Parallel Identities for Managing Open Government Data. IEEE Intelligent Systems
McGuinness, D.L., Shaikh, A.R., Lebo, T., Ding, L., Courtney, P., McCusker, J., Moser, R., Morgan, G.D., Tatalovich, Z., Willis, G., Contractor, N., and Hesse, B.W. . Towards Semantically-Enabled Next Generation Community Health Information Portals: The PopSciGrid Pilot. In Proceedings of Hawaii International Conference on System Sciences 2012 (January 4-7 2012, Grand Wailea, Maui).
Ding, L., Lebo, T., Erickson, J.S., DiFranzo, D., Williams, G.T., Li, X., Michaelis, J., Graves, A., Zheng, J., Shangguan, Z., Flores, J., McGuinness, D.L., and Hendler, J. . TWC LOGD: A Portal for Linked Open Government Data Ecosystems. Journal of Web Semantics, pages 1–11.
McCusker, J., Luciano, J.S., and McGuinness, D.L. . Towards an Ontology for Conceptual Modeling. In Proceedings of International Conference on Biomedical Ontology (July 26-30 2011, Buffalo, NY, US).
Halpin, H., Hayes, P.J., McCusker, J., McGuinness, D.L., and Thompson, H.S. . When owl:sameAs isn’t the Same: An Analysis of Identity in Linked Data. In Proceedings of ISWC 2010 (November 7-11 2010, Shanghai, China).

Pinheiro, P., Santos, H., Liang, Z., Liu, Y., Rashid, S., McGuinness, D., & Bax, M. (October 12, 2018). HADatAc: A Framework for Scientific Data Integration using Ontologies. In: International Semantic Web Conference (ISWC) 2018
Bennett, K., Erickson, J., De Los Santos, H., Norris, S., Patton, E., Sheehan, J., & McGuinness, D. (December 5, 2016). Data Analytics as Data: A Semantic Workflow Approach. In: The 13th Annual Conference on Neural Information Processing Systems (NIPS)
Erickson, J., McGuinness, D., Bennett, K., & Sheehan, J. (June 7, 2016). Addressing Scientific Rigor in Data Analytics using Semantic Workflows. In: International Provenance and Annotation Workshop (IPAW) 2016
Courtney, P., Shaikh, A., Contractor, N., McGuinness, D., Ding, L., Jacobs, M., Blake, K., Morgan, G., Moser, R., Willis, G., & Hesse, B. (November 9, 2011). Consumer Health Portal: An Informatics Tool for Translation and Visualization of Complex, Evidence-Based Population Health Data for Cancer Prevention and Control. In: APHA Annual Meeting 2010

Kristin Bennett

Kristin P. Bennett's research interests include: combining operations research and artificial intelligence problem solving methods; mathematical programming approaches to problems in data science, data mining, artificial intelligence and machine learning such as machine learning, support vector mach [...]

Katherine Chastain

Katherine is a Masters student in the ITWS department at Rensselaer Polytechnic Institute. Her interests are in research, specifically in the area of Database and Intelligent Systems.

John S. Erickson

John S. Erickson, Ph.D. has spent over two decades studying the unique social, legal, and technical problems that arise when managing and disseminating information in the digital environment. Currently Director of Research Operations at the Rensselaer Institute for Data Exploration and Application [...]

Jim Hendler

James Hendler is the Tetherless World Professor of Computer and Cognitive Science, and the Assistant Dean for Information Technology and Web Science, at Rensselaer. He is also a faculty affiliate of the Experimental Multimedia Performing Arts Center (EMPAC), serves as a Director of [...]

Jamie McCusker

Jamie McCusker works on Biomedical Semantics. Her current interests are data and provenance interoperability in life sciences. She has worked as a software developer for 11 years in bioinformatics, high performance computing, data mining, natural language processing, and supply chain auditing. [...]

Deborah L. McGuinness

Dr. Deborah McGuinness is a leading expert in knowledge representation and reasoning languages and systems and has worked in ontology creation and evolution environments for over 20 years. Most recently, Deborah is best known for her leadership role in semantic web research [...]

Paulo Pinheiro

I am the leader of the Trust Laboratory at The University of Texas at El Paso (UTEP), a member of The Software Engineering Affinity Laboratory, and a member of UTEP's Cyber-ShARE Center of Excellence for Sharing Resources Through Cyber-Infrastructure to advance science, engineering, and education. [...]

Oshani Seneviratne

Oshani Seneviratne is the Director of Health Data Research in the Health Empowerment by Analytics, Learning, and Semantics (HEALS) Project at the Institute for Data Exploration and Applications (IDEA) at the Rensselaer Polytechnic Institute (RPI).