Designing a Machine Learning Model to Predict Cardiovascular Disease Without Any Blood Test

Arin Brahma; Samir Chatterjee; Yan Li

doi:10.1007/978-3-030-19504-5_9

Designing a Machine Learning Model to Predict Cardiovascular Disease Without Any Blood Test

Arin Brahma, Samir Chatterjee, Yan Li

Claremont Graduate University

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

Original language	English
Title of host publication	Extending the Boundaries of Design Science Theory and Practice - 14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019, Proceedings
Editors	Bengisu Tulu, Soussan Djamasbi, Gondy Leroy
Publisher	Springer Verlag
Pages	125-139
Number of pages	15
ISBN (Print)	9783030195038
DOIs	https://doi.org/10.1007/978-3-030-19504-5_9
State	Published - Apr 27 2019
Externally published	Yes
Event	14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019 - Worcester, United States Duration: Jun 4 2019 → Jun 6 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11491 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019
Country/Territory	United States
City	Worcester
Period	6/4/19 → 6/6/19

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Cardiovascular disease
Design science research
Healthcare
Machine learning

Access to Document

10.1007/978-3-030-19504-5_9

Cite this

Brahma, A., Chatterjee, S., & Li, Y. (2019). Designing a Machine Learning Model to Predict Cardiovascular Disease Without Any Blood Test. In B. Tulu, S. Djamasbi, & G. Leroy (Eds.), Extending the Boundaries of Design Science Theory and Practice - 14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019, Proceedings (pp. 125-139). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11491 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-19504-5_9

Designing a Machine Learning Model to Predict Cardiovascular Disease Without Any Blood Test. / Brahma, Arin; Chatterjee, Samir; Li, Yan.
Extending the Boundaries of Design Science Theory and Practice - 14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019, Proceedings. ed. / Bengisu Tulu; Soussan Djamasbi; Gondy Leroy. Springer Verlag, 2019. p. 125-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11491 LNCS).

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

Brahma, A, Chatterjee, S & Li, Y 2019, Designing a Machine Learning Model to Predict Cardiovascular Disease Without Any Blood Test. in B Tulu, S Djamasbi & G Leroy (eds), Extending the Boundaries of Design Science Theory and Practice - 14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11491 LNCS, Springer Verlag, pp. 125-139, 14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019, Worcester, United States, 6/4/19. https://doi.org/10.1007/978-3-030-19504-5_9

Brahma A, Chatterjee S, Li Y. Designing a Machine Learning Model to Predict Cardiovascular Disease Without Any Blood Test. In Tulu B, Djamasbi S, Leroy G, editors, Extending the Boundaries of Design Science Theory and Practice - 14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019, Proceedings. Springer Verlag. 2019. p. 125-139. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-19504-5_9

Brahma, Arin ; Chatterjee, Samir ; Li, Yan. / Designing a Machine Learning Model to Predict Cardiovascular Disease Without Any Blood Test. Extending the Boundaries of Design Science Theory and Practice - 14th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2019, Proceedings. editor / Bengisu Tulu ; Soussan Djamasbi ; Gondy Leroy. Springer Verlag, 2019. pp. 125-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Designing a Machine Learning Model to Predict Cardiovascular Disease Without Any Blood Test

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ASJC Scopus Subject Areas

Keywords

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