Artificial Intelligence in Healthcare

1. Auflage 2022
ISBN: 978-981-16-6264-5
Verlag: Springer Nature Singapore

Buch, Englisch, 150 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 412 g

Reihe: Advanced Technologies and Societal Change

This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Garg, Lalit

Sharma, Tarun K.

Basterrech, Sebastian

Banerjee, Chitresh

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Präventivmedizin, Gesundheitsförderung, Medizinisches Screening
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Betriebliches Gesundheitsmanagement

Inhaltsverzeichnis

Geospatial Modelling and Trend Analysis of Coronavirus outbreaks using Sentiment Analysis and Intelligent Algorithms.- A Particle Swarm Optimization based ANN Predictive Model for Statistical Detection of COVID-19.- Identifying Malignancy of Lung Cancer using Deep Learning Concepts.- Protecting ECG Signals with Hybrid Swarm Intelligence Algorithm.- Human Eye Vision Algorithm (HEVA): A novel approach for the Optimization of Combinatorial Problems.

Über Autor(innen)

Dr. Lalit Garg is an information technology innovator, academician, learner, teacher, developer, keynote speaker, consultant, and researcher with a demonstrated history of working in the higher education industry and an excellent research publication record. He is skilled in solving complex problems using machine learning, and data analytics, especially from medicine and healthcare domain. Presently, he is a senior lecturer in Computer Information Systems at the University of Malta, Msida, Malta. He has published over 90 technical papers in refereed high impact journals, conferences, and books. His research interest includes modeling and simulation, information systems, operational research and forecasting, health and social care modeling and missing data analysis, biomedical computing, neuroimaging, metabolomics and personalized medicine, knowledge discovery and data mining, E-learning, human–computer interaction, cloud computing, and pervasive computing.

Dr. Sebastian Basterrech obtained the Ph.D. degree in Computer Sciences in November 2012 from the University of Rennes I, Bretagne, France. During 2009-2012, he was a doctoral student fellowship of INRIA, France. He received the M.A. degree in Computer Arts (“Arts et technologies numériques”) at the University of Rennes II, Bretagne, France. In addition, he received a M.Sc. degree in Applied Mathematics in 2008 from the Aix-Marseille. Since June 2013 until December 2015, he has been working as a postdoctoral researcher at the National Supercomputing Center and VŠB-Technical University of Ostrava, Czech Republic. Currently, he is affiliated with Department of Computer Science, Faculty of Computer Sciences and Electrical Engineering, VŠB-Technical University of Ostrava. His main research topics belong to: Neural computation, human–computer interface, dynamical systems, and bio-inspired methods. 

Dr. Chitresh Banerjee is a Science Graduate (B.Sc.); he holds a master’s degree in Computer Science (M.Tech.) and master’s degree in Computer Applications (MCA) with GNIIT (three years) program from NIIT Ltd. He is Ph.D. CS from Pacific University, Udaipur, Rajasthan, India. He has a rich academic experience of about 21+ years in the field of Computer Applications / Science / IT. He is currently working as an associate professor, Amity Institute of Information Technology, Amity University, Jaipur. He has edited two books with Asset Analytics, Springer. His research domain includes security analysis, nature-inspired computing and software engineering.

Dr. Tarun K Sharma is associated with Shobhit University, Gangoh, Saharanpur, as a professor and head of CSE and Dean – School of Engineering and Technology. He has over 80 research publications in International Journal and Conferences of repute. He is a founding member of International Conference on Soft Computing: Theories and Applications (SoCTA Series) and Congress on Advances in Materials Science and Engineering (CAMSE). He has edited four volumes of Conference Proceedings published by AISC series of Springer (SCOPUS) Publication and two edited books with Asset Analytics, Springer. The two conference proceedings (SoCTA and CAMSE) in AISC and LNME Springer are in press. His main research topics are nature/bio-inspired computing, software engineering, data science, and knowledge mining.