Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Data Science and Medical Informatics in Healthcare Technologies - Nguyen Thi Dieu Linh, Zhongyu (Joan) Lu

Data Science and Medical Informatics in Healthcare Technologies (eBook)

eBook Download: PDF
2021 | 1st ed. 2021
VII, 86 Seiten
Springer Singapore (Verlag)
978-981-16-3029-3 (ISBN)
Systemvoraussetzungen
69,54 inkl. MwSt
(CHF 67,90)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

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 many others.



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.


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.
Erscheint lt. Verlag 19.6.2021
Reihe/Serie SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Forensic and Medical Bioinformatics
SpringerBriefs in Forensic and Medical Bioinformatics
Zusatzinfo VII, 86 p. 14 illus., 13 illus. in color.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Statistik
Medizin / Pharmazie
Technik Medizintechnik
Schlagworte Artificial Intelligence • Data Visualization • Diagnostic accuracy • Disease diagnosis • drug discovery • genomics • machine learning • Personalized medicine • Precision medicine • predictive medicine
ISBN-10 981-16-3029-1 / 9811630291
ISBN-13 978-981-16-3029-3 / 9789811630293
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 2,4 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Build memory-efficient cross-platform applications using .NET Core

von Trevoir Williams

eBook Download (2024)
Packt Publishing (Verlag)
CHF 29,30
Learn asynchronous programming by building working examples of …

von Carl Fredrik Samson

eBook Download (2024)
Packt Publishing Limited (Verlag)
CHF 29,30