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Data science and medical informatics...

Linh, Nguyen Thi Dieu.

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Data science and medical informatics in healthcare technologies

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science and medical informatics in healthcare technologies/ by Nguyen Thi Dieu Linh, Zhongyu (Joan) Lu.
Author:	Linh, Nguyen Thi Dieu.
other author:	Lu, Zhongyu.
Published:	Singapore :Springer Singapore : : 2021.,
Description:	vii, 86 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Medical informatics. -
Online resource:	https://doi.org/10.1007/978-981-16-3029-3
ISBN:	9789811630293

Data science and medical informatics in healthcare technologies
Linh, Nguyen Thi Dieu.

Data science and medical informatics in healthcare technologies[electronic resource] /by Nguyen Thi Dieu Linh, Zhongyu (Joan) Lu. - Singapore :Springer Singapore :2021. - vii, 86 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology. Forensic and medical bioinformatics. - SpringerBriefs in applied sciences and technology.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:

661258
Medical informatics.

LC Class. No.: R858 / .L564 2021

Dewey Class. No.: 610.285

Data science and medical informatics in healthcare technologies
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245 1 0 $a Data science and medical informatics in healthcare technologies $h [electronic resource] / $c by Nguyen Thi Dieu Linh, Zhongyu (Joan) Lu.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a vii, 86 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology. Forensic and medical bioinformatics
505 0 $a 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.
520 $a 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.
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650 0 $a Bioinformatics. $3 553671
650 1 4 $a Computational Intelligence. $3 1001631
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650 2 4 $a Data Structures and Information Theory. $3 3382368
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Statistics, general. $3 896933
650 2 4 $a Big Data. $3 3134868
700 1 $a Lu, Zhongyu. $3 3505880
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