Improving heuristics miners for healthcare applications by discovering optimal dependency graphs-Reference-Cited by-同舟云学术

Improving heuristics miners for healthcare applications by discovering optimal dependency graphs

Published:2022-06-27 Issue:18 Volume:78 Page:19628-19661
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Tavakoli-Zaniani Maryam,Gholamian Mohammad Reza^ORCID,Hashemi-Golpayegani Seyyed Alireza

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-022-04637-7.pdf

Reference47 articles.

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4. Molero-Castillo G, Jasso-Villazul J, Torres-Vargas A, Velázquez-Mena A (2020) Towards the processes discovery in the medical treatment of Mexican-origin women diagnosed with breast cancer. In: Future of information and communication conference. Springer international publishing, Cham, pp 826-838. https://doi.org/10.1007/978-3-030-12388-8_56

5. Prodel M (2017) Process discovery, analysis and simulation of clinical pathways using health-care data. Dissertation, École des Mines de Saint-Étienne

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