Big Data Analytics and Artificial Intelligence in the Healthcare Industry

Big Data Analytics and Artificial Intelligence in the Healthcare Industry

Release Date: April, 2022|Copyright: © 2022 |Pages: 360
DOI: 10.4018/978-1-7998-9172-7
ISBN13: 9781799891727|ISBN10: 1799891720|EISBN13: 9781799891734
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Description & Coverage
Description:

Developing new approaches and reliable enabling technologies in the healthcare industry is needed to enhance our overall quality of life and lead to a healthier, innovative, and secure society. Further study is required to ensure these current technologies, such as big data analytics and artificial intelligence, are utilized to their utmost potential and are appropriately applied to advance society.

Big Data Analytics and Artificial Intelligence in the Healthcare Industry discusses technologies and emerging topics regarding reliable and innovative solutions applied to the healthcare industry and considers various applications, challenges, and issues of big data and artificial intelligence for enhancing our quality of life. Covering a range of topics such as electronic health records, machine learning, and e-health, this reference work is ideal for healthcare professionals, computer scientists, data analysts, researchers, practitioners, scholars, academicians, instructors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Big Data Analytics
  • Data Visualization
  • E-Health
  • Electronic Health Records
  • Fuzzy Logic
  • Healthcare Interoperability
  • Hospital Discharges
  • Knowledge Extraction
  • Machine Learning
  • Synthetic Data
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Editor/Author Biographies

José Machado is an Associate Professor with Habilitation in the Department of Informatics, Universidade do Minho. He got his PhD in Informatics, in 2002, and Habilitation in 2011. He is the Director of the ALGORITMI research centre, member of the Computer Science and Technology (CST) group and header of the lab Knowledge Engineering (KE). His research interests span the domain of Biomedical Informatics, Electronic Health Records, Interoperability, Databases, Business Intelligence and Applied Artificial Intelligence. He is the Editor in chief of Biomed Informatics (MDPI) and associate editor of IJRQEH (IGI Global). He is the chair of the IEEE CIS Portugal Chapter.

Hugo Peixoto is an Assistant Researcher at Algoritmi Research Center at University of Minho, Portugal. Previously work as an IT Director at Centro Hospitalar de Entre o Douro e Vouga, and as an IT Specialist at Centro Hospitalar do Tâmega e Sousa (CHTS) in Penafiel where he is engaged in the development of several projects in the area of Electronic Medical Processes and Interoperability. Also, he is currently invited assistant professor at University of Minho, Braga, Portugal. Hugo Peixoto holds a PhD in Biomedical Engineering from the University of Minho, Portugal, with a thesis focused on Interoperability Strategies in HealthCare Environment. In addition, he holds a Master´s degree in the field on Medical Informatics, during which he had the opportunity to collaborate with the research team of the Informatics Department of the University of Freiburg, Germany. Since 2009, he is member of the research team of Information Systems Technologies in the Algoritmi Center in the University of Minho. In addition, he holds a position of Invited Auxiliary Professor of Knowledge Extraction and Electronic Health Records of the Biomedical Engineering Course at University of Minho. He also took part in the organization of several international workshops (including the FiCloud 2017), he is a reviewer on international conferences and a member of the scientific committee of several international conferences.

Regina Sousa is a Ph.D. student in Biomedical Engineering with technical skills in Artificial Intelligence, Business Intelligence, Big Data, Healthcare Information Systems, among others. She collaborated in a professional project with TecMinho in the years 2017 and 2018 called DermoID -Núcleo de Investigação e Desenvolvimento de Dermocosméticos. In 2018 she was a trainer of children's computer programming in the company HappyCode Braga. In 2019 she joined geoatributo as a software analyst where she prevailed until the end of the year. She took leave from the profession to start her Ph.D. in Biomedical Engineering in the Medical Informatics Branch. In Jan 2020 he won a research fellowship in the Factory of the Future: Smart Facturing project where he still collaborates. In Nov 2020 experienced the first activity as a guest lecturer in the course of Asian Institute of Technology (AIT) - Data Modeling and Management in the School of Engineering and Technology (SET) Asian Institute of Technology (AIT), Thailand. In Jan 2021 she was a lecturer at Instituto Piaget Vila Nova de Gaia in the Information Systems course.

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