Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series

Carlos Fernandez-Llatas; Lucia Sacchi; Jose Miguel Benedi; Arianna Dagliati; Vicente Traver; Riccardo Bellazzi

doi:10.1109/BHI.2014.6864481

Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series

Carlos Fernandez-Llatas, Lucia Sacchi, Jose Miguel Benedi, Arianna Dagliati, Vicente Traver, Riccardo Bellazzi

Istituti Clinici Scientifici Maugeri Spa – Società Benefit

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

Abstract

The design of clinical protocols for improving the quality of care in an efficient way is one of the challenges for the deployment of Evidence Based Medicine. The design of those protocols is a difficult task that require the consensus of care process experts. The use of Pattern Recognition approaches, like Process Mining, allows the automatic inference of processes that can help experts for formalizing these clinical protocols based on the actually deployed care process. However, the step rules among the different stages of the care protocols are based on high level descriptions of numerical clinical data gathered from the patient that can not be processed directly by Process Mining approaches. In this paper, a combination of Interactive Pattern Recognition with Temporal Abstraction technologies that allows processing of clinical data to allow the enrichment of Activity Based Process Mining corpus is presented.

Original language	English
Title of host publication	2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
Publisher	IEEE Computer Society
Pages	785-788
Number of pages	4
ISBN (Print)	9781479921317
DOIs	https://doi.org/10.1109/BHI.2014.6864481
Publication status	Published - 2014
Event	2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 - Valencia, Spain Duration: Jun 1 2014 → Jun 4 2014

Other

Other	2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
Country/Territory	Spain
City	Valencia
Period	6/1/14 → 6/4/14

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics

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10.1109/BHI.2014.6864481

Cite this

Fernandez-Llatas, C., Sacchi, L., Benedi, J. M., Dagliati, A., Traver, V., & Bellazzi, R. (2014). Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series. In 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 (pp. 785-788). [6864481] IEEE Computer Society. https://doi.org/10.1109/BHI.2014.6864481

Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series. / Fernandez-Llatas, Carlos; Sacchi, Lucia; Benedi, Jose Miguel et al.

2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014. IEEE Computer Society, 2014. p. 785-788 6864481.

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

Fernandez-Llatas, C, Sacchi, L, Benedi, JM, Dagliati, A, Traver, V & Bellazzi, R 2014, Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series. in 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014., 6864481, IEEE Computer Society, pp. 785-788, 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014, Valencia, Spain, 6/1/14. https://doi.org/10.1109/BHI.2014.6864481

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Temporal abstractions to enrich Activity-Based Process Mining corpus with clinical time series

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