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Computational Intelligence and Predictive Analysis for Medical Science : : A Pragmatic Approach / / ed. by Poonam Tanwar, Praveen Kumar, Seema Rawat, Masoud Mohammadian, Saif Ahmad.

This book uncovers stakes and possibilities offered by Computational Intelligence and Predictive Analytics to Medical Science. The main focus is on data technologies,classification, analysis and mining, information retrieval, and in the algorithms needed to elaborate the informations. A section with...

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Superior document:	Title is part of eBook package: De Gruyter DG Ebook Package English 2021
MitwirkendeR:	Aashish, Kumar, Ansari, Afzal, Anubhav, Kumar, Arora, Ankita, Basnett, Trilochana, Chamoli, Naincy, Das, Punam, Elsa Jacob, Jisu, Garg, Aryan, Gautam, Kartik, Gopal, Dharshini, Guliani, Sanchit, Gupta, Shubhi, Kalita, Pranjit, Kapoor, Namita, Kumar Burnwal, Sourabh, Kumar, Deepak, Kumar, Praveen, Kumar, Suresh, Kumari, Maya, Manjunath, N, Mathur, Aakriti, Mufassir Yaseen, Syed, Muthuselvam, M., Parameshwari, M.A, Rai, Sanjeev, Raja, Priyanka, Ruban, S, Sharma, Nitin, Sharma, Richa, Sharma, Shubham, Skariyachan, Sinosh, Subramanian, J.V., Tewary, Tavishi, Tyagi, Somil, Vashisht, A Swati,
HerausgeberIn:	Ahmad, Saif, Kumar, Praveen, Mohammadian, Masoud, Rawat, Seema, Tanwar, Poonam,
Place / Publishing House:	Berlin ;, Boston : : De Gruyter, , [2021] ©2021
Year of Publication:	2021
Language:	English
Series:	Intelligent Biomedical Data Analysis , 6
Online Access:	https://doi.org/10.1515/9783110715279 https://www.degruyter.com/isbn/9783110715279 Cover
Physical Description:	1 online resource (XIV, 319 p.)
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spelling	Computational Intelligence and Predictive Analysis for Medical Science : A Pragmatic Approach / ed. by Poonam Tanwar, Praveen Kumar, Seema Rawat, Masoud Mohammadian, Saif Ahmad. Berlin ; Boston : De Gruyter, [2021] ©2021 1 online resource (XIV, 319 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Intelligent Biomedical Data Analysis , 2629-7140 ; 6 Frontmatter -- Preface -- Contents -- List of contributors -- About the series -- About the editors -- Applications of computational intelligence and predictive analytics in screening potential lead molecules toward COVID-19: scope of repurposed drugs -- Classification and clustering algorithms in identifying patterns in medical science -- IoT – a supportive system for solving issues related to medical monitoring -- Bioheat transfer simulation during RFA -- Supervised classification and clustering algorithms for spatiotemporal change analysis assessment of urban growth -- Enabling data to develop an AI-based application for detecting malaria and dengue -- Pertinence of signal processing techniques in EEG analysis -- Fitness tracking diagnostics -- Personal big data–directed policies hoard and scrutinize colossal health data from emerging technologies -- Real-time patient health monitoring -- Forecasting, visualization and analysis of COVID-19 in India using time series modeling -- Noninvasive prediction techniques of diabetic retinopathy -- Change vector analysis in relation to terrain parameters using temporal remote sensing satellite data -- Cloud-based E-learning platforms -- Computational intelligence for analysis of urban surface temperature over various urban land cover features -- Predictive analysis of consumers’ perception and decision-making process toward e-healthcare services in India -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star This book uncovers stakes and possibilities offered by Computational Intelligence and Predictive Analytics to Medical Science. The main focus is on data technologies,classification, analysis and mining, information retrieval, and in the algorithms needed to elaborate the informations. A section with use cases and applications follows the two main parts of the book, respectively dedicated to the foundations and techniques of the discipline. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) Computational intelligence. Algorithmus. Big Data. Digitale Gesundheit. Künstliche Intelligenz. COMPUTERS / Intelligence (AI) & Semantics. bisacsh Aashish, Kumar, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ahmad, Saif, editor. edt http://id.loc.gov/vocabulary/relators/edt Ansari, Afzal, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Anubhav, Kumar, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Arora, Ankita, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Basnett, Trilochana, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Chamoli, Naincy, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Das, Punam, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Elsa Jacob, Jisu, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Garg, Aryan, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gautam, Kartik, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gopal, Dharshini, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Guliani, Sanchit, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gupta, Shubhi, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kalita, Pranjit, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kapoor, Namita, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kumar Burnwal, Sourabh, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kumar, Deepak, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kumar, Praveen, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kumar, Praveen, editor. edt http://id.loc.gov/vocabulary/relators/edt Kumar, Suresh, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kumari, Maya, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Manjunath, N, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Mathur, Aakriti, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Mohammadian, Masoud, editor. edt http://id.loc.gov/vocabulary/relators/edt Mufassir Yaseen, Syed, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Muthuselvam, M., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Parameshwari, M.A, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Rai, Sanjeev, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Raja, Priyanka, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Rawat, Seema, editor. edt http://id.loc.gov/vocabulary/relators/edt Ruban, S, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sharma, Nitin, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sharma, Richa, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sharma, Shubham, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Skariyachan, Sinosh, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Subramanian, J.V., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Tanwar, Poonam, editor. edt http://id.loc.gov/vocabulary/relators/edt Tewary, Tavishi, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Tyagi, Somil, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Vashisht, A Swati, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter DG Ebook Package English 2021 9783110750720 Title is part of eBook package: De Gruyter DG Plus DeG Package 2021 Part 1 9783110750706 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 English 9783110754001 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 9783110753776 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 English 9783110754070 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 9783110753837 ZDB-23-DEI EPUB 9783110715347 print 9783110714982 https://doi.org/10.1515/9783110715279 https://www.degruyter.com/isbn/9783110715279 Cover https://www.degruyter.com/document/cover/isbn/9783110715279/original
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author_sort	Aashish, Kumar,
title	Computational Intelligence and Predictive Analysis for Medical Science : A Pragmatic Approach /
spellingShingle	Computational Intelligence and Predictive Analysis for Medical Science : A Pragmatic Approach / Intelligent Biomedical Data Analysis , Frontmatter -- Preface -- Contents -- List of contributors -- About the series -- About the editors -- Applications of computational intelligence and predictive analytics in screening potential lead molecules toward COVID-19: scope of repurposed drugs -- Classification and clustering algorithms in identifying patterns in medical science -- IoT – a supportive system for solving issues related to medical monitoring -- Bioheat transfer simulation during RFA -- Supervised classification and clustering algorithms for spatiotemporal change analysis assessment of urban growth -- Enabling data to develop an AI-based application for detecting malaria and dengue -- Pertinence of signal processing techniques in EEG analysis -- Fitness tracking diagnostics -- Personal big data–directed policies hoard and scrutinize colossal health data from emerging technologies -- Real-time patient health monitoring -- Forecasting, visualization and analysis of COVID-19 in India using time series modeling -- Noninvasive prediction techniques of diabetic retinopathy -- Change vector analysis in relation to terrain parameters using temporal remote sensing satellite data -- Cloud-based E-learning platforms -- Computational intelligence for analysis of urban surface temperature over various urban land cover features -- Predictive analysis of consumers’ perception and decision-making process toward e-healthcare services in India -- Index
title_sub	A Pragmatic Approach /
title_full	Computational Intelligence and Predictive Analysis for Medical Science : A Pragmatic Approach / ed. by Poonam Tanwar, Praveen Kumar, Seema Rawat, Masoud Mohammadian, Saif Ahmad.
title_fullStr	Computational Intelligence and Predictive Analysis for Medical Science : A Pragmatic Approach / ed. by Poonam Tanwar, Praveen Kumar, Seema Rawat, Masoud Mohammadian, Saif Ahmad.
title_full_unstemmed	Computational Intelligence and Predictive Analysis for Medical Science : A Pragmatic Approach / ed. by Poonam Tanwar, Praveen Kumar, Seema Rawat, Masoud Mohammadian, Saif Ahmad.
title_auth	Computational Intelligence and Predictive Analysis for Medical Science : A Pragmatic Approach /
title_alt	Frontmatter -- Preface -- Contents -- List of contributors -- About the series -- About the editors -- Applications of computational intelligence and predictive analytics in screening potential lead molecules toward COVID-19: scope of repurposed drugs -- Classification and clustering algorithms in identifying patterns in medical science -- IoT – a supportive system for solving issues related to medical monitoring -- Bioheat transfer simulation during RFA -- Supervised classification and clustering algorithms for spatiotemporal change analysis assessment of urban growth -- Enabling data to develop an AI-based application for detecting malaria and dengue -- Pertinence of signal processing techniques in EEG analysis -- Fitness tracking diagnostics -- Personal big data–directed policies hoard and scrutinize colossal health data from emerging technologies -- Real-time patient health monitoring -- Forecasting, visualization and analysis of COVID-19 in India using time series modeling -- Noninvasive prediction techniques of diabetic retinopathy -- Change vector analysis in relation to terrain parameters using temporal remote sensing satellite data -- Cloud-based E-learning platforms -- Computational intelligence for analysis of urban surface temperature over various urban land cover features -- Predictive analysis of consumers’ perception and decision-making process toward e-healthcare services in India -- Index
title_new	Computational Intelligence and Predictive Analysis for Medical Science :
title_sort	computational intelligence and predictive analysis for medical science : a pragmatic approach /
series	Intelligent Biomedical Data Analysis ,
series2	Intelligent Biomedical Data Analysis ,
publisher	De Gruyter,
publishDate	2021
physical	1 online resource (XIV, 319 p.) Issued also in print.
contents	Frontmatter -- Preface -- Contents -- List of contributors -- About the series -- About the editors -- Applications of computational intelligence and predictive analytics in screening potential lead molecules toward COVID-19: scope of repurposed drugs -- Classification and clustering algorithms in identifying patterns in medical science -- IoT – a supportive system for solving issues related to medical monitoring -- Bioheat transfer simulation during RFA -- Supervised classification and clustering algorithms for spatiotemporal change analysis assessment of urban growth -- Enabling data to develop an AI-based application for detecting malaria and dengue -- Pertinence of signal processing techniques in EEG analysis -- Fitness tracking diagnostics -- Personal big data–directed policies hoard and scrutinize colossal health data from emerging technologies -- Real-time patient health monitoring -- Forecasting, visualization and analysis of COVID-19 in India using time series modeling -- Noninvasive prediction techniques of diabetic retinopathy -- Change vector analysis in relation to terrain parameters using temporal remote sensing satellite data -- Cloud-based E-learning platforms -- Computational intelligence for analysis of urban surface temperature over various urban land cover features -- Predictive analysis of consumers’ perception and decision-making process toward e-healthcare services in India -- Index
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issn	2629-7140 ;
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callnumber-subject	Q - General Science
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url	https://doi.org/10.1515/9783110715279 https://www.degruyter.com/isbn/9783110715279 https://www.degruyter.com/document/cover/isbn/9783110715279/original
illustrated	Not Illustrated
dewey-hundreds	000 - Computer science, information & general works
dewey-tens	000 - Computer science, knowledge & systems
dewey-ones	006 - Special computer methods
dewey-full	006.3
dewey-sort	16.3
dewey-raw	006.3
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doi_str_mv	10.1515/9783110715279
oclc_num	1280944649
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and Predictive Analysis for Medical Science :</subfield><subfield code="b">A Pragmatic Approach /</subfield><subfield code="c">ed. by Poonam Tanwar, Praveen Kumar, Seema Rawat, Masoud Mohammadian, Saif Ahmad.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin ;</subfield><subfield code="a">Boston : </subfield><subfield code="b">De Gruyter, </subfield><subfield code="c">[2021]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (XIV, 319 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Intelligent Biomedical Data Analysis ,</subfield><subfield code="x">2629-7140 ;</subfield><subfield code="v">6</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Preface -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">List of contributors -- </subfield><subfield code="t">About the series -- </subfield><subfield code="t">About the editors -- </subfield><subfield code="t">Applications of computational intelligence and predictive analytics in screening potential lead molecules toward COVID-19: scope of repurposed drugs -- </subfield><subfield code="t">Classification and clustering algorithms in identifying patterns in medical science -- </subfield><subfield code="t">IoT – a supportive system for solving issues related to medical monitoring -- </subfield><subfield code="t">Bioheat transfer simulation during RFA -- </subfield><subfield code="t">Supervised classification and clustering algorithms for spatiotemporal change analysis assessment of urban growth -- </subfield><subfield code="t">Enabling data to develop an AI-based application for detecting malaria and dengue -- </subfield><subfield code="t">Pertinence of signal processing techniques in EEG analysis -- </subfield><subfield code="t">Fitness tracking diagnostics -- </subfield><subfield code="t">Personal big data–directed policies hoard and scrutinize colossal health data from emerging technologies -- </subfield><subfield code="t">Real-time patient health monitoring -- </subfield><subfield code="t">Forecasting, visualization and analysis of COVID-19 in India using time series modeling -- </subfield><subfield code="t">Noninvasive prediction techniques of diabetic retinopathy -- </subfield><subfield code="t">Change vector analysis in relation to terrain parameters using temporal remote sensing satellite data -- </subfield><subfield code="t">Cloud-based E-learning platforms -- </subfield><subfield code="t">Computational intelligence for analysis of urban surface temperature over various urban land cover features -- </subfield><subfield code="t">Predictive analysis of consumers’ perception and decision-making process toward e-healthcare services in India -- </subfield><subfield code="t">Index</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book uncovers stakes and possibilities offered by Computational Intelligence and Predictive Analytics to Medical Science. The main focus is on data technologies,classification, analysis and mining, information retrieval, and in the algorithms needed to elaborate the informations. A section with use cases and applications follows the two main parts of the book, respectively dedicated to the foundations and techniques of the discipline.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computational intelligence.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Algorithmus.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Digitale Gesundheit.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Künstliche Intelligenz.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Intelligence (AI) & Semantics.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Aashish, Kumar, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ahmad, 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Computational Intelligence and Predictive Analysis for Medical Science : : A Pragmatic Approach / / ed. by Poonam Tanwar, Praveen Kumar, Seema Rawat, Masoud Mohammadian, Saif Ahmad.

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