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Interactive process mining in healthcare

Fernandez-Llatas, Carlos.

Interactive process mining in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Interactive process mining in healthcareedited by Carlos Fernandez-Llatas.
other author:	Fernandez-Llatas, Carlos.
Published:	Cham :Springer International Publishing :2021.
Description:	xiv, 306 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Medical informatics.
Online resource:	https://doi.org/10.1007/978-3-030-53993-1
ISBN:	9783030539931$q(electronic bk.)

Interactive process mining in healthcare
Interactive process mining in healthcare[electronic resource] /edited by Carlos Fernandez-Llatas. - Cham :Springer International Publishing :2021. - xiv, 306 p. :ill., digital ;24 cm. - Health informatics,1431-1917. - Health informatics..

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.

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.

ISBN: 9783030539931$q(electronic bk.)

Standard No.: 10.1007/978-3-030-53993-1doiSubjects--Topical Terms:

196487
Medical informatics.

LC Class. No.: R859.7.D35 / I58 2021

Dewey Class. No.: 610.285

National Library of Medicine Call No.: W 26.55.I4

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505 0 $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.
520 $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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