Process Mining Techniques for Managing and Improving Healthcare Systems  book cover
1st Edition

Process Mining Techniques for Managing and Improving Healthcare Systems

  • Available for pre-order on June 5, 2023. Item will ship after June 26, 2023
ISBN 9781032431093
June 26, 2023 Forthcoming by CRC Press
216 Pages 70 B/W Illustrations

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USD $150.00

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Book Description

This book discusses a new process mining method along with a detailed comparison between different techniques that provide a complete vision of the process of data acquisition, data analysis, and data prediction.

Process Mining Techniques for Managing and Improving Healthcare Systems offers a new framework for process learning which is probabilistic and enables the process to be learned in an accumulative manner. The steps of prediction modeling and building the required knowledge are highlighted throughout the book along with a strong emphasis on the correlation between the healthcare domain and technology including the different aspects such as managing records, information, and procedures, early detection of diseases, and the improvement of accuracy in choosing the right treatment procedures.

This reference provides a wealth of knowledge for practitioners, researchers, and students at basic and intermediary levels working within the healthcare system, computer science, electronics and communications, as well as medical providers, and also hospital management entities.

Table of Contents

1. Healthcare System. 2. Data Mining and Management Information Systems. 3. Process Mining and Big Data in Healthcare. 4. The Proposed β Algorithm for Healthcare Systems. 5. Building a Hospital Management Platform. 6. The Advantages of Using the MYL Platform.

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Maha Zayoud was born in Damascus, Syria, in 1985. She received her B.S. and M.S. degrees in computer engineering from the Kuwait University, Kuwait, in 2006 and 2012, respectively. She is currently with the Department of Computer Engineering, at the American University of the Middle East, Kuwait, and is pursuing a Ph.D. degree in industrial engineering at the Politehnica University of Bucharest, Romania. Her research interests include process mining, big data, petri net workflows, industrial management systems, and industrial engineering design.