Data Science and Medical Informatics in Healthcare Technologies
Springer Verlag, Singapore
978-981-16-3028-6 (ISBN)
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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.
* How is artificial intelligence changing drug discovery ?
* Data science and healthcare transformation
* Machine Learning in Drug Discovery
* Cross-referencing research data: Speeds drug development and lowers clinical trials cost
* Big data in drug discovery
* Use of big data in drug development for precision medicine
* Predictive medicine: prognosis and diagnostic accuracy
* Data Science In Stratified Healthcare And Precision Medicine
* Next generation solution for drug discovery
* Disease diagnosis using data visualization
* Genomics in drug discovery and development
* Understand the statistical significance of clinical studies
Application of data science in Personalized medicine
| Erscheint lt. Verlag | 6.9.2021 |
|---|---|
| Reihe/Serie | SpringerBriefs in Applied Sciences and Technology |
| Zusatzinfo | 35 Illustrations, color; Approx. 125 p. 35 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 981-16-3028-3 / 9811630283 |
| ISBN-13 | 978-981-16-3028-6 / 9789811630286 |
| Zustand | Neuware |
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