LEADER 03938nam  22008175  450 
001 9910485591403321
005 20240208140922.0
010   $a981-16-3029-1
024 7 $a10.1007/978-981-16-3029-3
035   $a(CKB)5590000000487522
035   $a(MiAaPQ)EBC6648131
035   $a(Au-PeEL)EBL6648131
035   $a(OCoLC)1257550095
035   $a(DE-He213)978-981-16-3029-3
035   $a(PPN)258061332
035   $a(EXLCZ)995590000000487522
100   $a20210619d2021      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aData Science and Medical Informatics in Healthcare Technologies /$fby Nguyen Thi Dieu Linh, Zhongyu (Joan) Lu
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (91 pages)
225 1 $aSpringerBriefs in Forensic and Medical Bioinformatics,$x2196-8853
311   $a981-16-3028-3 
311   $a981-16-3031-3 
327   $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.
330   $aThis book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the societal needs. The contents of the book unearth the lacuna between the medication and treatment in the current preventive medicinal and pharmaceutical system. It contains chapters prepared by experts in life sciences along with data scientists for examining the circumstances of health care system for the next decade. It also highlights the automated processes for analyzing data in clinical trial research, specifically for drug development. Additionally, the data science solutions provided in this book help pharmaceutical companies to improve on what had historically been manual, costly and laborious process for cross-referencing research in clinical trials on drug development, while laying the groundwork for use with a full range of other drugs for the conditions ranging from tuberculosis, to diabetes, to heart attacks and many others.
410  0$aSpringerBriefs in Forensic and Medical Bioinformatics,$x2196-8853
606   $aComputational intelligence
606   $aMedical informatics
606   $aArtificial intelligence$xData processing
606   $aQuantitative research
606   $aBig data
606   $aInternet of things
606   $aComputational Intelligence
606   $aHealth Informatics
606   $aData Science
606   $aData Analysis and Big Data
606   $aBig Data
606   $aInternet of Things
606   $aInformàtica mèdica$2thub
606   $aBioinformàtica$2thub
608   $aLlibres electrònics$2thub
615  0$aComputational intelligence.
615  0$aMedical informatics.
615  0$aArtificial intelligence$xData processing.
615  0$aQuantitative research.
615  0$aBig data.
615  0$aInternet of things.
615 14$aComputational Intelligence.
615 24$aHealth Informatics.
615 24$aData Science.
615 24$aData Analysis and Big Data.
615 24$aBig Data.
615 24$aInternet of Things.
615  7$aInformàtica mèdica
615  7$aBioinformàtica
676   $a006.3
700   $aLinh$b Nguyen Thi Dieu$01215595
702   $aLu$b Zhongyu
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910485591403321
996   $aData science and medical informatics in healthcare technologies$92808892
997   $aUNINA