Data Science and Medical Informatics in Healthcare Technologies

1. Auflage 2021
ISBN: 978-981-16-3031-6
Verlag: Springer Nature Singapore

Buch, Englisch, 86 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 160 g

Reihe: SpringerBriefs in Applied Sciences and Technology

This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and manyothers.

Zielgruppe

Research

Autoren/Hrsg.

Lu, Zhongyu (Joan)

Thi Dieu Linh, Nguyen

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

1. A Value of Data Science in the Medical Informatics: An Overview.- 2. Data science in Medical Informatics: Challenges and Opportunities.- 3. Eminent Role of Machine Learning in the Healthcare Data Management.- 4. Potential and Adoption of Data Science in the Healthcare Analytics.- 5. Emerging Advancement of Data Science in the Healthcare Informatics.

Über Autor(innen)

Nguyen Thi Dieu Linh, PhD, is Dy. Head of Science and Technology Department, Hanoi University of Industry, Hanoi, Vietnam (HaUI). She has more than 19 years of academic experience in electronics, IoT, smart gardens, and telecommunication. She received her Ph.D. in Information and Communications Engineering from Harbin Institute of Technology, Harbin, China, in 2013. She is Chair of the International Conference of Intelligent System and Network. She has edited book titles “Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches” and “Distributed Artificial Intelligence: A Modern Approach” by T&F. She serves as an Editorial Board Member of several journals. She has chaired many technical events in different universities in Viet Nam.

Joan Lu is Professor of Informatics at the University of Huddersfield (UK). Her extensive research covers information access, retrieval and visualization, XML technology, object-oriented technologies, agent technology, data management systems, security issues and Internet computing. She has been Invited Speaker for industrial-oriented events and published 5 academic books and more than 160 journal articles. Professor Lu has acted as Founder and Program Chair for the International XML Technology workshop and XMLTech (USA) for 11 years (2003–2011). She also serves as Chair of 5 separate international conferences, is Regular Reviewer for several international journals and Committee Member for 16 international conferences. She specializes in XML technology and mobile computing with image retrieval through the latest wireless devices. Professor Lu serves as Member of the British Computer Society (BCS), BCS Examiner of Advanced Database Management Systems and Fellow of the Higher Education Academy (UK). She is Founder and Editor-in-Chief for the International Journal of Information Retrieval Research.