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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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data science and medical informatics in healthcare technologies/ by Nguyen Thi Dieu Linh, Zhongyu (Joan) Lu.
作者:	Linh, Nguyen Thi Dieu.
其他作者:	Lu, Zhongyu.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	vii, 86 p. :ill., digital ;24 cm.
內容註:	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
標題:	Medical informatics. -
電子資源:	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

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