Shaun Grannis

  • 1387 Citations
  • 19 h-Index
20022020

Research output per year

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Publications

Article

The effects of state rules on opioid prescribing in Indiana

Al Achkar, M., Grannis, S., Revere, D., MacKie, P., Howard, M. & Gupta, S., Jan 18 2018, In : BMC Health Services Research. 18, 1, 29.

Research output: Contribution to journalArticle

12 Scopus citations
43 Scopus citations
18 Scopus citations
8 Scopus citations
6 Scopus citations
19 Scopus citations
14 Scopus citations
3 Scopus citations
Chapter

Client Registries: Identifying and Linking Patients

McFarlane, T. D., Dixon, B. E. & Grannis, S. J., Feb 11 2016, Health Information Exchange: Navigating and Managing a Network of Health Information Systems. Elsevier Inc., p. 163-182 20 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations

Real world performance of approximate string comparators for use in patient matching

Grannis, S., Overhage, J. M. & McDonald, C., 2004, Studies in Health Technology and Informatics. Vol. 107. p. 43-47 5 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

21 Scopus citations

Regenstrief Medical Informatics. Experiences with Clinical Decision Support Systems.

Biondich, P., Dixon, B. E., Duke, J., Mamlin, B., Grannis, S., Takesue, B., Downs, S. & Tierney, W., May 2014, Clinical Decision Support: The Road to Broad Adoption: Second Edition. Elsevier Inc., p. 165-187 23 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

The Evolving Health Information Infrastructure

Broyles, D., Dixon, B. E., Crichton, R., Biondich, P. & Grannis, S. J., Feb 11 2016, Health Information Exchange: Navigating and Managing a Network of Health Information Systems. Elsevier Inc., p. 107-122 16 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations
Comment/debate
31 Scopus citations
Conference contribution

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

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

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

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

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

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

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

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

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
Review article
5 Scopus citations
7 Scopus citations