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Data Science and Medical Informatics in Healthcare Technologies

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Science and Medical Informatics in Healthcare Technologies/ by Nguyen Thi Dieu Linh, Zhongyu (Joan) Lu.
Author:	Thi Dieu Linh, Nguyen.
other author:	Lu, Zhongyu (Joan).
Description:	VII, 86 p. 14 illus., 13 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-16-3029-3
ISBN:	9789811630293

Data Science and Medical Informatics in Healthcare Technologies
Thi Dieu Linh, Nguyen.

Data Science and Medical Informatics in Healthcare Technologies[electronic resource] /by Nguyen Thi Dieu Linh, Zhongyu (Joan) Lu. - 1st ed. 2021. - VII, 86 p. 14 illus., 13 illus. in color.online resource. - SpringerBriefs in Forensic and Medical Bioinformatics,2196-8853. - SpringerBriefs in Forensic and Medical Bioinformatics,.

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.

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.

ISBN: 9789811630293

Standard No.: 10.1007/978-981-16-3029-3doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Data Science and Medical Informatics in Healthcare Technologies
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