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Titlebook: Data Science and Medical Informatics in Healthcare Technologies; Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu Book 2021 The Editor(s) (if applic

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書目名稱Data Science and Medical Informatics in Healthcare Technologies
編輯Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu
視頻videohttp://file.papertrans.cn/264/263100/263100.mp4
概述Highlights recent advances in the area of data science, bioinformatics, and genomics presenting its applications to healthcare.Addresses the gap between the medication and treatment in the current pre
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Data Science and Medical Informatics in Healthcare Technologies; Nguyen Thi Dieu Linh,Zhongyu (Joan) Lu Book 2021 The Editor(s) (if applic
描述.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..
出版日期Book 2021
關(guān)鍵詞Machine Learning; Artificial intelligence; Drug discovery; Precision medicine; Predictive medicine; Diagn
版次1
doihttps://doi.org/10.1007/978-981-16-3029-3
isbn_softcover978-981-16-3031-6
isbn_ebook978-981-16-3029-3Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Potential and Adoption of Data Science in the Healthcare Analytics, management methods and their technology, developments in medicine and health care, and the constantly shifting demands, requirements and aspirations of human populations. This chapter will explain the relevance of the application of predictive analytics strategies focused on data science in healthc
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Emerging Advancement of Data Science in the Healthcare Informatics,ands, requirements and aspirations of human populations. This chapter gives brief explanation for relevance of the applications of predictive analytics strategies and importance of data science in healthcare.
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2191-530X nt, 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..978-981-16-3031-6978-981-16-3029-3Series ISSN 2191-530X Series E-ISSN 2191-5318
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Data Science and Medical Informatics in Healthcare Technologies
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Book 2021 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..
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Surface Compositional Semanticsing methods and their technology, advancement in medicine and health care, and the rapidly evolving needs, requirements and desires of human societies. This chapter consists of opportunities and challenges of data science in healthcare information analysis. Also data analytics stages, future and its
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