Shaun Grannis

  • 1387 Citations
  • 19 h-Index
20022020

Research output per year

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Publications

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Conference contribution
2020

Privacy-Preserving Record Linkage to Identify Fragmented Electronic Medical Records in the All of Us Research Program

Kho, A. N., Yu, J., Bryan, M. S., Gladfelter, C., Gordon, H. S., Grannis, S., Madden, M., Mendonca, E., Mitrovic, V., Shah, R., Tachinardi, U. & Taylor, B., Jan 1 2020, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. Cellier, P. & Driessens, K. (eds.). Springer, p. 79-87 9 p. (Communications in Computer and Information Science; vol. 1168 CCIS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2019

An adversorial approach to enable re-use of machine learning models and collaborative research efforts using synthetic unstructured free-text medical data

Kasthurirathne, S. N., Dexter, G. & Grannis, S. J., Aug 21 2019, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Seroussi, B., Ohno-Machado, L., Ohno-Machado, L. & Seroussi, B. (eds.). IOS Press, p. 1510-1511 2 p. (Studies in Health Technology and Informatics; vol. 264).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2017

An incremental adoption pathway for developing precision medicine based healthcare infrastructure for underserved settings

Kasthurirathne, S. N., Biondich, P. G., Mamlin, B. W., Cullen, T. A. & Grannis, S. J., Jan 1 2017, MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press, p. 442-446 5 p. (Studies in Health Technology and Informatics; vol. 245).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Discriminative boosted Bayes networks for learning multiple cardiovascular procedures

Ramanan, N., Yang, S., Grannis, S. & Natarajan, S., Dec 15 2017, Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Yoo, I., Zheng, J. H., Gong, Y., Hu, X. T., Shyu, C-R., Bromberg, Y., Gao, J. & Korkin, D. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 870-873 4 p. (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017; vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Modeling heart procedures from EHRs: An application of exponential families

Yang, S., Hadiji, F., Kersting, K., Grannis, S. & Natarajan, S., Dec 15 2017, Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017. Yoo, I., Zheng, J. H., Gong, Y., Hu, X. T., Shyu, C-R., Bromberg, Y., Gao, J. & Korkin, D. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 491-497 7 p. (Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017; vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2015

Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches

Kasthurirathne, S. N., Dixon, B. E. & Grannis, S. J., 2015, Studies in Health Technology and Informatics. IOS Press, Vol. 216. p. 1070 1 p. (Studies in Health Technology and Informatics; vol. 216).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations
2013

A vision for the systematic monitoring and improvement of the quality of electronic health data

Dixon, B. E., Rosenman, M., Xia, Y. & Grannis, S. J., Jan 1 2013, MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics. 1-2 ed. IOS Press, p. 884-888 5 p. (Studies in Health Technology and Informatics; vol. 192, no. 1-2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations
2008

Understanding syndromic hotspots - A visual analytics approach

Maciejewski, R., Rudolph, S., Hafen, R., Abusalah, A., Yakout, M., Ouzzani, M., Cleveland, W. S., Grannis, S. J., Wade, M. & Ebert, D. S., Dec 1 2008, VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings. p. 35-42 8 p. 4677354. (VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations
2007

LAHVA: Linked animal-human health visual analytics

Maciejewski, R., Tyner, B., Jang, Y., Zheng, C., Nehme, R. V., Ebert, D. S., Cleveland, W. S., Ouzzani, M., Grannis, S. J. & Glickman, L. T., Dec 1 2007, VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings. p. 27-34 8 p. 4388993. (VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations