From Script to Application. A bupaR Integration into PMApp for Interactive Process Mining Research
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-54303-6_11
Reference14 articles.
1. Fernández-Llatas, C., Meneu, T., Traver, V., Benedi, J.-M.: Applying evidence-based medicine in telehealth: an interactive pattern recognition approximation. Int. J. Environ. Res. Public Health 10(11), 5671–5682 (2013)
2. Fernandez-Llatas, C.: Interactive Process Mining in Healthcare. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-53993-1
3. Munoz-Gama, J., et al.: Process mining for healthcare: characteristics and challenges. J. Biomed. Inform. 127, 103994 (2022)
4. Fernandez-Llatas, C., Lizondo, A., Monton, E., Benedi, J.-M., Traver, V.: Process mining methodology for health process tracking using real-time indoor location systems. Sensors 15(12), 29821–29840 (2015)
5. Fernandez-Llatas, C., et al.: Analyzing medical emergency processes with process mining: the stroke case. In: Daniel, F., Sheng, Q., Motahari, H. (eds.) BPM 2018. LNBIP, vol. 342, pp. 214–225. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-11641-5_17
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