AI-driven pathology laboratory utilization management via data- and knowledge-based analytics

Syed Sibte Raza Abidi; Jaber Rad; Ashraf Abusharekh; Patrice C. Roy; William Van Woensel; Samina R. Abidi; Calvino Cheng; Bryan Crocker; Manal Elnenaei

doi:10.1007/978-3-030-21642-9_30

AI-driven pathology laboratory utilization management via data- and knowledge-based analytics

Syed Sibte Raza Abidi, Jaber Rad, Ashraf Abusharekh, Patrice C. Roy, William Van Woensel, Samina R. Abidi, Calvino Cheng, Bryan Crocker, Manal Elnenaei

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings
Editors	David Riaño, Szymon Wilk, Annette ten Teije
Publisher	Springer Verlag
Pages	241-251
Number of pages	11
ISBN (Print)	9783030216412
DOIs	https://doi.org/10.1007/978-3-030-21642-9_30
Publication status	Published - 2019
Event	17th Conference on Artificial Intelligence in Medicine, AIME 2019 - Poznan, Poland Duration: Jun 26 2019 → Jun 29 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11526 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th Conference on Artificial Intelligence in Medicine, AIME 2019
Country/Territory	Poland
City	Poznan
Period	6/26/19 → 6/29/19

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Big data
Data analytics
Laboratory utilization
Machine learning
Pathology
Semantic web

Access to Document

10.1007/978-3-030-21642-9_30

Cite this

Abidi, S. S. R., Rad, J., Abusharekh, A., Roy, P. C., Van Woensel, W., Abidi, S. R., Cheng, C., Crocker, B., & Elnenaei, M. (2019). AI-driven pathology laboratory utilization management via data- and knowledge-based analytics. In D. Riaño, S. Wilk, & A. ten Teije (Eds.), Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings (pp. 241-251). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11526 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-21642-9_30

AI-driven pathology laboratory utilization management via data- and knowledge-based analytics. / Abidi, Syed Sibte Raza; Rad, Jaber; Abusharekh, Ashraf et al.
Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings. ed. / David Riaño; Szymon Wilk; Annette ten Teije. Springer Verlag, 2019. p. 241-251 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11526 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abidi, SSR, Rad, J, Abusharekh, A, Roy, PC, Van Woensel, W , Abidi, SR, Cheng, C, Crocker, B & Elnenaei, M 2019, AI-driven pathology laboratory utilization management via data- and knowledge-based analytics. in D Riaño, S Wilk & A ten Teije (eds), Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11526 LNAI, Springer Verlag, pp. 241-251, 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, 6/26/19. https://doi.org/10.1007/978-3-030-21642-9_30

Abidi SSR, Rad J, Abusharekh A, Roy PC, Van Woensel W , Abidi SR et al. AI-driven pathology laboratory utilization management via data- and knowledge-based analytics. In Riaño D, Wilk S, ten Teije A, editors, Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings. Springer Verlag. 2019. p. 241-251. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-21642-9_30

Abidi, Syed Sibte Raza ; Rad, Jaber ; Abusharekh, Ashraf et al. / AI-driven pathology laboratory utilization management via data- and knowledge-based analytics. Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings. editor / David Riaño ; Szymon Wilk ; Annette ten Teije. Springer Verlag, 2019. pp. 241-251 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AI-driven pathology laboratory utilization management via data- and knowledge-based analytics

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ASJC Scopus Subject Areas

Keywords

Access to Document

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