Main description:

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.

Contents:

Introduction.- Toward an integration of Data Science and Medical Domain.- To an interactive machine learning approach.- Process Mining for Healthcare.- Part II Interactive Process Mining.- Interactive process Mining paradigm.- Interactive Process Mining in Practice: Interactive Key Process Indicators.- Part III Interactive Process Mining in Action.- Data Quality in Process Mining, Legal Issues and Open Data Integration.- Real Success Cases.- New Challenges.