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001 9781003050827
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008 210825s2022 flu o 001 0 eng
040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781003050827
_q(ebk)
020 _a1003050824
020 _a9781000527056
_q(electronic bk. : EPUB)
020 _a1000527050
_q(electronic bk. : EPUB)
020 _a9781000527018
_q(electronic bk. : PDF)
020 _a1000527018
_q(electronic bk. : PDF)
020 _z9780367506919
_q(hbk)
020 _z9780367506926
_q(pbk)
035 _a(OCoLC)1266197297
035 _a(OCoLC-P)1266197297
050 0 0 _aR858
072 7 _aCOM
_x016000
_2bisacsh
072 7 _aCOM
_x089000
_2bisacsh
072 7 _aUYQ
_2bicssc
082 0 0 _a610.285
_223
245 0 0 _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
500 _aIncludes 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 _aOCLC-licensed vendor bibliographic record.
650 0 _aMedical informatics
_xResearch.
650 0 _aMedicine
_xData processing
_vCase studies.
650 7 _aCOMPUTERS / Computer Vision & Pattern Recognition
_2bisacsh
700 1 _aKumar, R. Lakshmana,
_eeditor.
700 1 _aIndrakumari, R.,
_eeditor.
700 1 _aBalamurugan, B,
_eeditor.
700 1 _aShankar, Achyut,
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003050827
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c4728
_d4728