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Adaptive Anomaly Detection for Dynamic Clinical Event Sequences.

H. Niu, O. Omitaomu, Q. Cao, M. Olama, Ö. Özmen, H. Klasky, L. Pullum, A. Malviya, P. Kuruganti, J. Scott, A. Laurio, F. Drews, B. Sauer, M. Ward, and J. Nebeker. IEEE BigData, page 4919-4928. IEEE, (2020)

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Yusuf Özmen

Soner Özgür

Nevzat Özgür

Burcu Özmen

Elif Özmen

Other publications of authors with the same name

Using Simulation to Quantify the Reliability of Control Software.J. Nutaro, and Ö. Özmen. WSC, page 3267-3276. IEEE, (2019)A new methodological framework for hazard detection models in health information technology systems.O. Omitaomu, H. Klasky, M. Olama, Ö. Özmen, L. Pullum, A. Malviya, P. Kuruganti, J. Scott, A. Laurio, F. Drews and 3 other author(s). J. Biomed. Informatics, (2021)Topic Modeling to Discern Irregular Order Patterns in Unlabeled Electronic Health Records.Ö. Özmen, H. Klasky, O. Omitaomu, M. Olama, P. Kuruganti, L. Pullum, M. Ward, J. Scott, A. Laurio, and J. Nebeker. BHI, page 1-4. IEEE, (2019)CPViz: Visualizing clinical pathways represented in higher-order networks.J. Chae, B. Park, M. Kim, E. Rush, Ö. Özmen, M. Jones, M. Ward, and J. Nebeker. Visualization and Data Analysis, page 1-8. Society for Imaging Science and Technology, (2023)The impact of socio-technical communication styles on the diversity and innovation potential of global science collaboratories.Ö. Özmen, L. Yilmaz, and J. Smith. Comput. Math. Organ. Theory, 22 (4): 521-548 (2016)Detecting anomalous sequences in electronic health records using higher-order tensor networks.H. Niu, O. Omitaomu, M. Langston, M. Olama, Ö. Özmen, H. Klasky, A. Laurio, B. Sauer, M. Ward, and J. Nebeker. J. Biomed. Informatics, (2022)Characterizing Sub-Cohorts via Data Normalization and Representation Learning.E. Rush, Ö. Özmen, K. Knight, B. Park, C. Baker, M. Jones, M. Ward, and J. Nebeker. CBMS, page 173-176. IEEE, (2020)Use of Event-Time Embeddings via RNN to Discern Novel Event Sequences in EHRs.Ö. Özmen, H. Klasky, O. Omitaomu, M. Olama, P. Kuruganti, L. Pullum, A. Malviya, M. Ward, J. Scott, A. Laurio and 3 other author(s). ICHI, page 639-643. IEEE, (2022)Real-time Multi-granular Analytics Framework for HIT Systems.B. Park, S. Lee, Ö. Özmen, M. Kumar, M. Ward, and J. Nebeker. IEEE Big Data, page 3441-3446. IEEE, (2022)Disaggregation and refinement of system dynamics models via agent-based modeling.J. Nutaro, Ö. Özmen, and J. Schryver. SummerSim, page 11. SCS/ ACM, (2014)

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Disambiguation of "Özmen, Özgür"

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Adaptive Anomaly Detection for Dynamic Clinical Event Sequences.

Please choose a person to relate this publication to

Yusuf Özmen

Soner Özgür

Nevzat Özgür

Burcu Özmen

Elif Özmen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Özmen, Özgür"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Adaptive Anomaly Detection for Dynamic Clinical Event Sequences.

Please choose a person to relate this publication to

Yusuf Özmen

Soner Özgür

Nevzat Özgür

Burcu Özmen

Elif Özmen

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Adaptive Anomaly Detection for Dynamic Clinical Event Sequences.