Editors:
- Provides analysis of real cases for illustrating the application of interactive process mining in medicine
- Includes a compendium of tutorials, techniques and learning-oriented features
- Uses an interactive medical focus to involve the medical expert avoiding the black box effect of classical approaches
Part of the book series: Health Informatics (HI)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (17 chapters)
-
Front Matter
-
Interactive Process Mining in Action
-
Front Matter
-
About this book
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.Editors and Affiliations
-
Process Mining 4 Health Lab – SABIEN – ITACA Institute, Universitat Politècnica de València, Valencia, Spain, CLINTEC – Karolinska Institutet, Sweden
Carlos Fernandez-Llatas
About the editor
Carlos Fernández-Llatas is Deputy Director in SABIEN at ITACA institute at Universitat Politècnica de València and Affiliated Researcher at Karolinska Institutet. He is founder & member of the Steering Committee of the Process Oriented Data Science 4 Healthcare Alliance and part of the IEEE Task Force on Process Mining. He participated in more than 30 projects through IV, V VI and VII European Framework program, H2020 program and Spanish Government funded projects. He has published more than 100 scientific papers. His research is mainly focused in the use and promotion of Process Mining technologies for their application in health.
Bibliographic Information
Book Title: Interactive Process Mining in Healthcare
Editors: Carlos Fernandez-Llatas
Series Title: Health Informatics
DOI: https://doi.org/10.1007/978-3-030-53993-1
Publisher: Springer Cham
eBook Packages: Medicine, Medicine (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-53992-4Published: 29 October 2020
Softcover ISBN: 978-3-030-53995-5Published: 29 October 2021
eBook ISBN: 978-3-030-53993-1Published: 28 October 2020
Series ISSN: 1431-1917
Series E-ISSN: 2197-3741
Edition Number: 1
Number of Pages: XIV, 306
Number of Illustrations: 38 b/w illustrations, 92 illustrations in colour
Topics: Health Informatics, Data Mining and Knowledge Discovery, Bioinformatics