001437579 000__ 03394cam\a2200553\a\4500
001437579 001__ 1437579
001437579 003__ OCoLC
001437579 005__ 20230309004155.0
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001437579 007__ cr\un\nnnunnun
001437579 008__ 210625s2021\\\\si\\\\\\ob\\\\000\0\eng\d
001437579 019__ $$a1257890562$$a1284936694
001437579 020__ $$a9789811630293$$q(electronic bk.)
001437579 020__ $$a9811630291$$q(electronic bk.)
001437579 020__ $$z9811630283
001437579 020__ $$z9789811630286
001437579 0247_ $$a10.1007/978-981-16-3029-3$$2doi
001437579 035__ $$aSP(OCoLC)1257550095
001437579 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dN$T$$dEBLCP$$dQGK$$dOCLCO$$dOCLCQ
001437579 049__ $$aISEA
001437579 050_4 $$aR858
001437579 08204 $$a610.285$$223
001437579 1001_ $$aLinh, Nguyen Thi Dieu.
001437579 24510 $$aData science and medical informatics in healthcare technologies /$$cNguyen Thi Dieu Linh, Zhongyu (Joan) Lu.
001437579 260__ $$aSingapore :$$bSpringer,$$c2021.
001437579 300__ $$a1 online resource
001437579 336__ $$atext$$btxt$$2rdacontent
001437579 337__ $$acomputer$$bc$$2rdamedia
001437579 338__ $$aonline resource$$bcr$$2rdacarrier
001437579 4901_ $$aSpringerBriefs in applied sciences and technology, Forensic and medical bioinformatics,$$x2196-8845
001437579 504__ $$aIncludes bibliographical references.
001437579 5050_ $$a1. A Value of Data Science in the Medical Informatics: An Overview -- 2. Data science in Medical Informatics: Challenges and Opportunities -- 3. Eminent Role of Machine Learning in the Healthcare Data Management -- 4. Potential and Adoption of Data Science in the Healthcare Analytics -- 5. Emerging Advancement of Data Science in the Healthcare Informatics.
001437579 506__ $$aAccess limited to authorized users.
001437579 520__ $$aThis book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.
001437579 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 28, 2021).
001437579 650_0 $$aMedical informatics.
001437579 650_0 $$aBioinformatics.
001437579 650_6 $$aMédecine$$xInformatique.
001437579 650_6 $$aBio-informatique.
001437579 655_0 $$aElectronic books.
001437579 7001_ $$aLu, Zhongyu,$$d1955-$$eauthor.
001437579 77608 $$iPrint version:$$z9811630283$$z9789811630286$$w(OCoLC)1249512312
001437579 830_0 $$aSpringerBriefs in applied sciences and technology.$$pForensic and medical bioinformatics,$$x2196-8845
001437579 852__ $$bebk
001437579 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-3029-3$$zOnline Access$$91397441.1
001437579 909CO $$ooai:library.usi.edu:1437579$$pGLOBAL_SET
001437579 980__ $$aBIB
001437579 980__ $$aEBOOK
001437579 982__ $$aEbook
001437579 983__ $$aOnline
001437579 994__ $$a92$$bISE