MARC Record from marc_columbia

LEADER: 04236cam a2200637 i 4500
001 15817703
005 20220212231936.0
006 m o d
007 cr |||||||||||
008 210825s2022 flu ob 001 0 eng
010 $a 2021042072
035 $a(OCoLC)on1266197297
035 $a(NNC)15817703
040 $aDLC$beng$erda$cDLC$dTYFRS$dOCLCF$dYDX$dDLC
020 $a9781000527056$q(epub)
020 $a1000527050
020 $a9781003050827$q(ebk)
020 $a1003050824
020 $z9780367506919$q(hbk)
020 $z9780367506926$q(pbk)
020 $a9781000527018$q(electronic bk. : PDF)
020 $a1000527018$q(electronic bk. : PDF)
035 $a(OCoLC)1266197297
037 $a9781003050827$bTaylor & Francis
042 $apcc
050 00 $aR858
072 7 $aCOM$x016000$2bisacsh
072 7 $aCOM$x089000$2bisacsh
072 7 $aUYQ$2bicssc
082 00 $a610.285$223
049 $aZCUA
245 00 $aExploratory data analytics for healthcare /$cedited by R. Lakshmana Kumar, R. Indrakumari, B. Balamurugan, Achyut Shankar.
250 $aFirst edition.
264 1 $aBoca Raton, FL :$bCRC Press,$c2022.
300 $a1 online resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 0 $aInnovations in big data and machine learning
504 $aIncludes bibliographical references and index.
505 2 $aVisual analytics: scopes & challenges / K. Hazarika, GCET, Gr. Noida, India, M-IEEE, Dr. A. Ambikapathy, GCET, Gr. Noida, India, M-IEEE, Shobana R., GCET, Gr. Noida, India, M-IEEE, Dr. Amit Agrawal (ABES Engineering College, Ghaziabad, India -- Statistical methods and applications: a comprehensive reference for the healthcare industry / Areeba Kazim, Researcher, DST Project, Amity School of Engineering & Technology, Dept. of CSE, Amity University, Noida, UP, India, Dr. Achyut Shankar, Assistant Professor, Amity School of Engineering & Technology, Dept. of CSE, Amity University, Noida, UP, India, Muskan Jindal, Bachelors of Technology (Computer Science), Amity School of Engineering & Technology, Dept. of CSE, Amity University, Noida, UP, India -- Machine Learning Algorithms for Healthcare Data Analytic -- A review of challenges and opportunities in machine learning for healthcare / M. Arvindhan, Galgotias University, D. Rajeshkumar, Galgotias University.
520 $a"Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow, explores basic and high-level concepts of computer science and engineering in medical science, and provides an overview of the clinical scientific research areas that enables smart diagnosis equipment. It will discuss techniques and tools used to explore large volumes of medical data and offers case studies that focus on the innovative technological upgradation and challenges faced today. The primary audience for the book includes specialists, researchers, graduates, designers, experts, physicians, and engineers who are doing research in this domain"--$cProvided by publisher.
588 $aDescription based on print version record and CIP data provided by publisher.
650 0 $aMedical informatics$xResearch.
650 0 $aMedicine$xData processing$vCase studies.
650 7 $aCOMPUTERS / Computer Vision & Pattern Recognition$2bisacsh
650 7 $aMedicine$xData processing.$2fast$0(OCoLC)fst01014924
655 4 $aElectronic books.
655 7 $aCase studies.$2fast$0(OCoLC)fst01423765
700 1 $aKumar, R. Lakshmana,$eeditor.
700 1 $aIndrakumari, R.,$eeditor.
700 1 $aBalamurugan, B.,$eeditor.
700 1 $aShankar, Achyut,$eeditor.
776 08 $iPrint version:$tExploratory data analytics for healthcare$bFirst edition.$dBoca Raton, FL : CRC Press, 2022$z9780367506919$w(DLC) 2021042071
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15817703$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS