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http://hdl.handle.net/1942/32664| Title: | Process Mining in Healthcare | Authors: | Fernandez-Llatas, Carlos Munoz-Gama, Jorge MARTIN, Niels Johnson, Owen Sepulveda, Marcos Helm, Emmanuel |
Issue Date: | 2021 | Publisher: | Springer | Source: | Fernandez-Llatas, Carlos (Ed.). Interactive Process Mining in Healthcare, Springer, p. 41 -52 | Series/Report: | Health Informatics | Status: | In press | Abstract: | Since medical processes are hard to be designed by consensus of experts, the use of data available for creating medical processes is a recurrent idea in literature [3, 7, 8]. Data-driven paradigms are named to be a feasible solution in this field that can support medical experts in their daily decisions [20]. Behind this paradigm, there are frameworks specifically designed for dealing with process-oriented problems. This is the case of process mining. | Document URI: | http://hdl.handle.net/1942/32664 | ISBN: | 978-3-030-53992-4 978-3-030-53993-1 |
DOI: | 10.1007/978-3-030-53993-1_4 | Rights: | Springer Nature Switzerland AG 2021 | Category: | B2 | Type: | Book Section | Validations: | vabb 2023 |
| Appears in Collections: | Research publications |
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