Interactive Process Mining in Healthcare: Health Informatics
Editat de Carlos Fernandez-Llatasen Limba Engleză Paperback – 29 oct 2021
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.
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.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 424.59 lei 43-57 zile | |
| Springer International Publishing – 29 oct 2021 | 424.59 lei 43-57 zile | |
| Hardback (1) | 569.97 lei 38-44 zile | |
| Springer International Publishing – 29 oct 2020 | 569.97 lei 38-44 zile |
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Specificații
ISBN-13: 9783030539955
ISBN-10: 3030539954
Pagini: 306
Ilustrații: XIV, 306 p. 130 illus., 92 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Health Informatics
Locul publicării:Cham, Switzerland
ISBN-10: 3030539954
Pagini: 306
Ilustrații: XIV, 306 p. 130 illus., 92 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.45 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Health Informatics
Locul publicării:Cham, Switzerland
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Cuprins
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.
Notă biografică
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
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