eHealth Research Unit

Publications

  • Javad Rahimipour Anaraki, Saeed Samet, Wolfgang Banzhaf, Mahdi Eftekhari, A New Fuzzy-Rough Hybrid Merit to Feature Selection. In Transactions on Rough Sets XX(pp. 1-23). Springer Berlin Heidelberg.
  • Javad Rahimipour Anaraki, Ahoora SadeghiBoroujerdi, Arastoo Bozorgi, Saeed Samet, HearMe: An Automated Transcripts, Sign Language, and Keywords Generator e-Health Annual Conference & Tradeshow, Vancouver, BC, 2016.
  • Saeed Samet. Privacy-Preserving Logistic Regression. Journal of Advance in Information Technology, 2015, Volume 6, No. 3, pp. 88-95, DOI: 10.12720/jait.6.3.88-95.
  • Javad Rahimipour Anaraki, Saeed Samet, Jeon-Hyun Lee, and Chang-Wook Ahn. SUFFUSE: Simultaneous Fuzzy-Rough Feature-Sample Selection. Journal of Advance in Information Technology, 2015, Volume 6, No. 3, pp. 103-110, DOI: 10.12720/jait.6.3.103-110.
  • Mitu Debnath, Saeed Samet, and Krishnamurthy Vidyasankar. A Secure Revocable Personal Health Record System With Policy-Based Fine-Grained Access Control. Accepted at the 13th International Conference on Privacy, Security and Trust (PST 2015), July 2015, Izmir, Turkey.
  • Khaled El Emam, Hanna Farah, Saeed Samet, Aleksander Essex, Elizabeth Jonker, Murat Kantarcioglu, Craig Earle.  A Privacy Preserving Protocol for Tracking Participants in Phase I Clinical Trials. Journal of Biomedical Informatics (JBI), July 2015. pii: S1532-0464(15)00129-X. DOI: 10.1016/j.jbi.2015.06.019.
  • Saeed Samet. Privacy-Preserving Statistical Analysis on Health Data. Accepted at the 7th International Conference on e-Health (EH 2015), July 2015, Spain. Best paper award.
  • Mitu Debnath, and Saeed Samet. SURPHER: A SecUre Revocable Personal HEalth Record System. Accepted at the 7th annual Primary Healthcare Partnership Forum (PriFor 2015), June 2015, St. John’s, NL, Canada.
  • Saeed Samet, Shabnam Asghari, Ahoora Sadeghi, and Oliver Hurley. Secure HEalth STatistical Analysis (SHESTA): A privacy-preserving approach on design and analysis of Digital Epidemiology Chronic Disease Tool (DEPICT). Accepted at the 7th annual Primary Healthcare Partnership Forum (PriFor 2015), June 2015, St. John’s, NL, Canada.
  • Babak Emami Abarghouei, Saeed Samet, Abouzar Azarpira and Ali Farrokhtala. SNACK: An Efficient Intrusion Detection System in Mobile Ad-Hoc Network based on the Selective-Negative Acknowledgement Algorithm. Accepted at the 28th annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2015), May 2015, Halifax, NS, Canada.
  • Mitu Debnath, Saeed Samet, and Krishnamurthy Vidyasankar. A PHR System With Policy-Based Fine-Grained Access Control And Revocation Mechanism. Poster, accepted at the Newfoundland Electrical and Computer Engineering Conference (NECEC 2014). November 2014, St. John’s, Newfoundland, Canada.
  • Vineet Santosh Karkera, and Saeed Samet. Privacy Preserving Analysis Tool (PPAT) : A platform independent privacy analysis tool for large anonymized datasets. Accepted at the Newfoundland Electrical and Computer Engineering Conference (NECEC 2014). November 2014, St. John’s, Newfoundland, Canada.
  • Khaled El Emam, Luk Arbuckle, Aleksander Essex, Saeed Samet, Ben Eze, Grant Middleton, David Buckeridge, Elizabeth jonker, Ester Moher, Craig Earle.  Secure Surveillance of Antimicrobial Resistant Organism Colonization or Infection in Ontario Long Term Care Homes. PLOS ONE, April 2014. DOI: 10.1371/journal.pone.0093285. http://www.ncbi.nlm.nih.gov/pubmed/24714643.
  • Saeed Samet, and Mohammad Hasanzadehkiabi. Distributed & Scalable Privacy Preserving Statistical Analysis methods on Big Data - Genome-environment-wide associations in type 2 diabetes to uncover gene-environment interactions associated with this highly common disease. Accepted to present as a work-in-progress at the 35th IEEE Symposium on Security and Privacy. 2014, San Jose, CA, USA.
  • Saeed Samet, Ali Miri and Eric Granger. Incremental learning of privacy-preserving Bayesian networks. Applied Soft Computing Journal, Volume 13, Issue 8, 2013, pp. 3657-3667. http://dx.doi.org/10.1016/j.asoc.2013.03.011.
  • Saeed Samet and Ali Miri. New Incremental Privacy-Preserving Clustering Protocols. Lecture Notes on Software Engineering (LNSE), Volume 1, Issue 3, August 2013, pages 244-248, ISSN: 2301-3559. http://www.lnse.org/show-29-64-1.html.
  • Khaled El Emam, Saeed Samet, Luk Arbuckle, Robyn Tamblyn, Craig Earle, and Murat Kantarcioglu.  A Secure Distributed Logistic Regression Protocol for the Detection of Rare Adverse Drug Events. Journal of the American Medical Informatics Association (JAMIA), May 2013, Volume 20, Issue 3, pages 453-461. http://www.ncbi.nlm.nih.gov/pubmed/22871397.
  • Saeed Samet and Ali Miri. Privacy-Preserving Back-Propagation and Extreme Learning Machine Algorithms. Journal of Data & Knowledge Engineering. Volume 79-80, September-October 2012, Pages 40-61.http://dx.doi.org/10.1016/j.datak.2012.06.001.
  • Khaled El Emam, Saeed Samet, Jun Hu, Liam Peyton, Craig Earle, Gayatri C. Jayaraman, Tom Wong, Murat Kantarcioglu, Fida Dankar, and Aleksander Essex. A Protocol for the Secure Linking of Registries for HPV Surveillance. PLOS ONE, 2012, Volume 7, Issue 7, e39915. http://www.ncbi.nlm.nih.gov/pubmed/22768321.
  • Donald Craig, An EHR interface for viewing and accessing patient health events from collaborative sources. Collaboration Technologies and Systems (CTS), 2011 International Conference on, pp.319-324, 23-27 May 2011.
  • Donald Craig and Gerard Farrell, Designing a Physician-Friendly Interface for an Electronic Medical Record System. HEALTHINF 2010, Proceedings of the Third International Conference on Health Informatics, A. Fred, J. Filipe, and H. Gamboa, Eds. INSTICC press, pp.324-329, 20-23 January 2010.