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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.
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.
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
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Allgemeine Lexika |
| Genre: | Medizin |
| Rubrik: | Wissenschaften |
| Medium: | Buch |
| Seiten: | 320 |
| Reihe: | Health Informatics |
| Inhalt: |
xiv
306 S. 38 s/w Illustr. 92 farbige Illustr. 306 p. 130 illus. 92 illus. in color. |
| ISBN-13: | 9783030539924 |
| ISBN-10: | 303053992X |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Redaktion: | Fernandez-Llatas, Carlos |
| Herausgeber: | Carlos Fernandez-Llatas |
| Auflage: | 1st ed. 2021 |
| Hersteller: |
Springer International Publishing
Health Informatics |
| Maße: | 241 x 160 x 22 mm |
| Von/Mit: | Carlos Fernandez-Llatas |
| Erscheinungsdatum: | 29.10.2020 |
| Gewicht: | 0,705 kg |
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.
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
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Allgemeine Lexika |
| Genre: | Medizin |
| Rubrik: | Wissenschaften |
| Medium: | Buch |
| Seiten: | 320 |
| Reihe: | Health Informatics |
| Inhalt: |
xiv
306 S. 38 s/w Illustr. 92 farbige Illustr. 306 p. 130 illus. 92 illus. in color. |
| ISBN-13: | 9783030539924 |
| ISBN-10: | 303053992X |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Redaktion: | Fernandez-Llatas, Carlos |
| Herausgeber: | Carlos Fernandez-Llatas |
| Auflage: | 1st ed. 2021 |
| Hersteller: |
Springer International Publishing
Health Informatics |
| Maße: | 241 x 160 x 22 mm |
| Von/Mit: | Carlos Fernandez-Llatas |
| Erscheinungsdatum: | 29.10.2020 |
| Gewicht: | 0,705 kg |
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