Explainable Artificial Intelligence and Process Mining Applications for Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Explainable Artificial Intelligence and Process Mining Applications for Healthcare write by Jose M. Juarez. This book was released on . Explainable Artificial Intelligence and Process Mining Applications for Healthcare available in PDF, EPUB and Kindle.
Process Mining in Healthcare
Process Mining in Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Process Mining in Healthcare write by Ronny S. Mans. This book was released on 2015-03-12. Process Mining in Healthcare available in PDF, EPUB and Kindle. What are the possibilities for process mining in hospitals? In this book the authors provide an answer to this question by presenting a healthcare reference model that outlines all the different classes of data that are potentially available for process mining in healthcare and the relationships between them. Subsequently, based on this reference model, they explain the application opportunities for process mining in this domain and discuss the various kinds of analyses that can be performed. They focus on organizational healthcare processes rather than medical treatment processes. The combination of event data and process mining techniques allows them to analyze the operational processes within a hospital based on facts, thus providing a solid basis for managing and improving processes within hospitals. To this end, they also explicitly elaborate on data quality issues that are relevant for the data aspects of the healthcare reference model. This book mainly targets advanced professionals involved in areas related to business process management, business intelligence, data mining, and business process redesign for healthcare systems as well as graduate students specializing in healthcare information systems and process analysis.
Interactive Process Mining in Healthcare
Interactive Process Mining in Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Interactive Process Mining in Healthcare write by Carlos Fernandez-Llatas. This book was released on 2020-10-28. Interactive Process Mining in Healthcare available in PDF, EPUB and Kindle. 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.
Artificial Intelligence and Data Mining in Healthcare
Artificial Intelligence and Data Mining in Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence and Data Mining in Healthcare write by Malek Masmoudi. This book was released on 2021-01-25. Artificial Intelligence and Data Mining in Healthcare available in PDF, EPUB and Kindle. This book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.
Explainable Artificial Intelligence for Biomedical and Healthcare Applications
Explainable Artificial Intelligence for Biomedical and Healthcare Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Explainable Artificial Intelligence for Biomedical and Healthcare Applications write by Aditya Khamparia. This book was released on 2024-10-09. Explainable Artificial Intelligence for Biomedical and Healthcare Applications available in PDF, EPUB and Kindle. This reference text helps us understand how the concepts of explainable artificial intelligence (XAI) are used in the medical and healthcare sectors. The text discusses medical robotic systems using XAI and physical devices having autonomous behaviors for medical operations. It explores the usage of XAI for analyzing different types of unique data sets for medical image analysis, medical image registration, medical data synthesis, and information discovery. It covers important topics including XAI for biometric security, genomics, and medical disease diagnosis. This book: • Provides an excellent foundation for the core concepts and principles of explainable AI in biomedical and healthcare applications. • Covers explainable AI for robotics and autonomous systems. • Discusses usage of explainable AI in medical image analysis, medical image registration, and medical data synthesis. • Examines biometrics security-assisted applications and their integration using explainable AI. The text will be useful for graduate students, professionals, and academic researchers in diverse areas such as electrical engineering, electronics and communication engineering, biomedical engineering, and computer science.
