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201103 ||| eng |
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|a 9783030539931
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| 100 |
1 |
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|a Fernandez-Llatas, Carlos
|e [editor]
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| 245 |
0 |
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|a Interactive Process Mining in Healthcare
|h Elektronische Ressource
|c edited by Carlos Fernandez-Llatas
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| 250 |
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|a 1st ed. 2021
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2021, 2021
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| 300 |
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|a XIV, 306 p. 130 illus., 92 illus. in color
|b online resource
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| 505 |
0 |
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|a Introduction -- Toward an integration of Data Science and Medical Domain -- To an interactive machine learning approach -- Process Mining for Healthcare -- Interactive process Mining paradigm -- Interactive Process Mining in Practice: Interactive Key Process Indicators -- Data Quality in Process Mining, Legal Issues and Open Data Integration -- Real Success Cases -- New Challenges.
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| 653 |
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|a Health Informatics
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| 653 |
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|a Bioinformatics
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| 653 |
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|a Medical informatics
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| 653 |
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|a Data mining
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| 653 |
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|a Data Mining and Knowledge Discovery
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Health Informatics
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| 028 |
5 |
0 |
|a 10.1007/978-3-030-53993-1
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-53993-1?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 610.285
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| 520 |
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|a This book provides a practically applicable guide to the methodologies and technologies for the application of interactive process mining paradigm. Case studies are presented where this paradigm has been successfully applied in emergency medicine, surgery processes, human behavior modelling, strokes and outpatients’ services, enabling the reader to develop a deep understanding of how to apply process mining technologies in healthcare to support them in inferring new knowledge from past actions, and providing accurate and personalized knowledge to improve their future clinical decision-making. Interactive Process Mining in Healthcare comprehensively covers how machine learning algorithms can be utilized to create real scientific evidence to improve daily healthcare protocols, and is a valuable resource for a variety of health professionals seeking to develop new methods to improve their clinical decision-making.
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