Healthcare Big Data Analytics : : Computational Optimization and Cohesive Approaches / / ed. by Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri.

This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, disc...

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Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2024 Part 1
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2024]
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Year of Publication:2024
Language:English
Series:Intelligent Biomedical Data Analysis , 10
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spelling Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches / ed. by Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri.
Berlin ; Boston : De Gruyter, [2024]
©2024
1 online resource (X, 344 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Intelligent Biomedical Data Analysis , 2629-7140 ; 10
Frontmatter -- Preface -- Contents -- 1 Integration of neutrosophic logic for faster effective treatment of cancer patients -- 2 Comparison of optimization techniques particle swarm optimization with genetic algorithm for medical image watermarking -- 3 An analytical study of AI in overcoming mental illness -- 4 COVID-19 case analysis and prediction using regression models -- 5 Computer vision for medical diagnosis and surgery -- 6 Detection of COVID-19 in IoMT cloud-based system using ensemble machine learning algorithms -- 7 Prediction of big medical data using data analytics and deep learning -- 8 Impact of deep learning applications in medical hyper spectral imaging -- 9 Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare -- 10 Application of big data analytic techniques for healthcare systems -- 11 Big data security and privacy in healthcare -- 12 Healthcare encryption using augmented intelligence -- 13 Security system design for medical big data: layered security framework for protecting medical big data -- 14 Big data analytics in effective implementation of healthcare management -- Brief biographies -- Index
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.
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 02. Jun 2024)
Big Data.
Digital Health.
Internet der Dinge.
Künstliche Intelligenz.
COMPUTERS / Intelligence (AI) & Semantics. bisacsh
Artificial Intelligence.
Healthcare.
Internet Of Things.
Optimization.
Abdulraheem, Muyideen, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Abidemi Adeniyi, Emmanuel, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Agravanshi, Subandhu, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Albuquerque, Victor, Hugo C. de, editor. edt http://id.loc.gov/vocabulary/relators/edt
Bamidele Awotunde, Joseph, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Dauda Oladipo, Idowu, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Ganeshkumar, M., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Gohil, Jay, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Gopalakrishnan, E. A., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
H. Jhaveri, Rutvij, editor. edt http://id.loc.gov/vocabulary/relators/edt
Holi, Ganga, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Kumar Bhoi, Akash, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Kumar Bhoi, Akash, editor. edt http://id.loc.gov/vocabulary/relators/edt
Kumar Lenka, Asit, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Kumar Mahendran, Rakesh, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Kumar Tripathy, Hrudaya, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Lucky Imoize, Agbotiname, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Madhu, B., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Maity, Arpan, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Mallik, Sitikantha, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Mishra, Niyati, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Mishra, Sushruta, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Mohanty, Suneeta, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Neranjan Thilakarathne, Navod, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Olalekan Raheem, Muiz, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Olayinka Dauda, Sulaimon, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Oluwasegun Osemudiame, Ige, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Oluwasenu Ogundokun, Roseline, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Panigrahi, Ranjit, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Panigrahi, Ranjit, editor. edt http://id.loc.gov/vocabulary/relators/edt
Patel, Jay, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Samarasinghe, Rohan, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Shankar Mishra, Bhabani, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Soman, K. P., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Sowmya, V., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Visalakshi, S., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Walia, Muskaan, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb
Title is part of eBook package: De Gruyter DG Plus DeG Package 2024 Part 1 9783111332192
EPUB 9783110750980
print 9783110750737
https://doi.org/10.1515/9783110750942
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author2 Abdulraheem, Muyideen,
Abdulraheem, Muyideen,
Abidemi Adeniyi, Emmanuel,
Abidemi Adeniyi, Emmanuel,
Agravanshi, Subandhu,
Agravanshi, Subandhu,
Albuquerque, Victor, Hugo C. de,
Albuquerque, Victor, Hugo C. de,
Bamidele Awotunde, Joseph,
Bamidele Awotunde, Joseph,
Dauda Oladipo, Idowu,
Dauda Oladipo, Idowu,
Ganeshkumar, M.,
Ganeshkumar, M.,
Gohil, Jay,
Gohil, Jay,
Gopalakrishnan, E. A.,
Gopalakrishnan, E. A.,
H. Jhaveri, Rutvij,
H. Jhaveri, Rutvij,
Holi, Ganga,
Holi, Ganga,
Kumar Bhoi, Akash,
Kumar Bhoi, Akash,
Kumar Bhoi, Akash,
Kumar Bhoi, Akash,
Kumar Lenka, Asit,
Kumar Lenka, Asit,
Kumar Mahendran, Rakesh,
Kumar Mahendran, Rakesh,
Kumar Tripathy, Hrudaya,
Kumar Tripathy, Hrudaya,
Lucky Imoize, Agbotiname,
Lucky Imoize, Agbotiname,
Madhu, B.,
Madhu, B.,
Maity, Arpan,
Maity, Arpan,
Mallik, Sitikantha,
Mallik, Sitikantha,
Mishra, Niyati,
Mishra, Niyati,
Mishra, Sushruta,
Mishra, Sushruta,
Mohanty, Suneeta,
Mohanty, Suneeta,
Neranjan Thilakarathne, Navod,
Neranjan Thilakarathne, Navod,
Olalekan Raheem, Muiz,
Olalekan Raheem, Muiz,
Olayinka Dauda, Sulaimon,
Olayinka Dauda, Sulaimon,
Oluwasegun Osemudiame, Ige,
Oluwasegun Osemudiame, Ige,
Oluwasenu Ogundokun, Roseline,
Oluwasenu Ogundokun, Roseline,
Panigrahi, Ranjit,
Panigrahi, Ranjit,
Panigrahi, Ranjit,
Panigrahi, Ranjit,
Patel, Jay,
Patel, Jay,
Samarasinghe, Rohan,
Samarasinghe, Rohan,
Shankar Mishra, Bhabani,
Shankar Mishra, Bhabani,
Soman, K. P.,
Soman, K. P.,
Sowmya, V.,
Sowmya, V.,
Visalakshi, S.,
Visalakshi, S.,
Walia, Muskaan,
Walia, Muskaan,
author_facet Abdulraheem, Muyideen,
Abdulraheem, Muyideen,
Abidemi Adeniyi, Emmanuel,
Abidemi Adeniyi, Emmanuel,
Agravanshi, Subandhu,
Agravanshi, Subandhu,
Albuquerque, Victor, Hugo C. de,
Albuquerque, Victor, Hugo C. de,
Bamidele Awotunde, Joseph,
Bamidele Awotunde, Joseph,
Dauda Oladipo, Idowu,
Dauda Oladipo, Idowu,
Ganeshkumar, M.,
Ganeshkumar, M.,
Gohil, Jay,
Gohil, Jay,
Gopalakrishnan, E. A.,
Gopalakrishnan, E. A.,
H. Jhaveri, Rutvij,
H. Jhaveri, Rutvij,
Holi, Ganga,
Holi, Ganga,
Kumar Bhoi, Akash,
Kumar Bhoi, Akash,
Kumar Bhoi, Akash,
Kumar Bhoi, Akash,
Kumar Lenka, Asit,
Kumar Lenka, Asit,
Kumar Mahendran, Rakesh,
Kumar Mahendran, Rakesh,
Kumar Tripathy, Hrudaya,
Kumar Tripathy, Hrudaya,
Lucky Imoize, Agbotiname,
Lucky Imoize, Agbotiname,
Madhu, B.,
Madhu, B.,
Maity, Arpan,
Maity, Arpan,
Mallik, Sitikantha,
Mallik, Sitikantha,
Mishra, Niyati,
Mishra, Niyati,
Mishra, Sushruta,
Mishra, Sushruta,
Mohanty, Suneeta,
Mohanty, Suneeta,
Neranjan Thilakarathne, Navod,
Neranjan Thilakarathne, Navod,
Olalekan Raheem, Muiz,
Olalekan Raheem, Muiz,
Olayinka Dauda, Sulaimon,
Olayinka Dauda, Sulaimon,
Oluwasegun Osemudiame, Ige,
Oluwasegun Osemudiame, Ige,
Oluwasenu Ogundokun, Roseline,
Oluwasenu Ogundokun, Roseline,
Panigrahi, Ranjit,
Panigrahi, Ranjit,
Panigrahi, Ranjit,
Panigrahi, Ranjit,
Patel, Jay,
Patel, Jay,
Samarasinghe, Rohan,
Samarasinghe, Rohan,
Shankar Mishra, Bhabani,
Shankar Mishra, Bhabani,
Soman, K. P.,
Soman, K. P.,
Sowmya, V.,
Sowmya, V.,
Visalakshi, S.,
Visalakshi, S.,
Walia, Muskaan,
Walia, Muskaan,
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author_sort Abdulraheem, Muyideen,
title Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches /
spellingShingle Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches /
Intelligent Biomedical Data Analysis ,
Frontmatter --
Preface --
Contents --
1 Integration of neutrosophic logic for faster effective treatment of cancer patients --
2 Comparison of optimization techniques particle swarm optimization with genetic algorithm for medical image watermarking --
3 An analytical study of AI in overcoming mental illness --
4 COVID-19 case analysis and prediction using regression models --
5 Computer vision for medical diagnosis and surgery --
6 Detection of COVID-19 in IoMT cloud-based system using ensemble machine learning algorithms --
7 Prediction of big medical data using data analytics and deep learning --
8 Impact of deep learning applications in medical hyper spectral imaging --
9 Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare --
10 Application of big data analytic techniques for healthcare systems --
11 Big data security and privacy in healthcare --
12 Healthcare encryption using augmented intelligence --
13 Security system design for medical big data: layered security framework for protecting medical big data --
14 Big data analytics in effective implementation of healthcare management --
Brief biographies --
Index
title_sub Computational Optimization and Cohesive Approaches /
title_full Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches / ed. by Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri.
title_fullStr Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches / ed. by Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri.
title_full_unstemmed Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches / ed. by Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri.
title_auth Healthcare Big Data Analytics : Computational Optimization and Cohesive Approaches /
title_alt Frontmatter --
Preface --
Contents --
1 Integration of neutrosophic logic for faster effective treatment of cancer patients --
2 Comparison of optimization techniques particle swarm optimization with genetic algorithm for medical image watermarking --
3 An analytical study of AI in overcoming mental illness --
4 COVID-19 case analysis and prediction using regression models --
5 Computer vision for medical diagnosis and surgery --
6 Detection of COVID-19 in IoMT cloud-based system using ensemble machine learning algorithms --
7 Prediction of big medical data using data analytics and deep learning --
8 Impact of deep learning applications in medical hyper spectral imaging --
9 Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare --
10 Application of big data analytic techniques for healthcare systems --
11 Big data security and privacy in healthcare --
12 Healthcare encryption using augmented intelligence --
13 Security system design for medical big data: layered security framework for protecting medical big data --
14 Big data analytics in effective implementation of healthcare management --
Brief biographies --
Index
title_new Healthcare Big Data Analytics :
title_sort healthcare big data analytics : computational optimization and cohesive approaches /
series Intelligent Biomedical Data Analysis ,
series2 Intelligent Biomedical Data Analysis ,
publisher De Gruyter,
publishDate 2024
physical 1 online resource (X, 344 p.)
Issued also in print.
contents Frontmatter --
Preface --
Contents --
1 Integration of neutrosophic logic for faster effective treatment of cancer patients --
2 Comparison of optimization techniques particle swarm optimization with genetic algorithm for medical image watermarking --
3 An analytical study of AI in overcoming mental illness --
4 COVID-19 case analysis and prediction using regression models --
5 Computer vision for medical diagnosis and surgery --
6 Detection of COVID-19 in IoMT cloud-based system using ensemble machine learning algorithms --
7 Prediction of big medical data using data analytics and deep learning --
8 Impact of deep learning applications in medical hyper spectral imaging --
9 Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare --
10 Application of big data analytic techniques for healthcare systems --
11 Big data security and privacy in healthcare --
12 Healthcare encryption using augmented intelligence --
13 Security system design for medical big data: layered security framework for protecting medical big data --
14 Big data analytics in effective implementation of healthcare management --
Brief biographies --
Index
isbn 9783110750942
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url https://doi.org/10.1515/9783110750942
https://www.degruyter.com/isbn/9783110750942
https://www.degruyter.com/document/cover/isbn/9783110750942/original
illustrated Not Illustrated
dewey-hundreds 600 - Technology
dewey-tens 610 - Medicine & health
dewey-ones 610 - Medicine & health
dewey-full 610.28
dewey-sort 3610.28
dewey-raw 610.28
dewey-search 610.28
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fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>08011nam a2201165Ia 4500</leader><controlfield tag="001">9783110750942</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20240602123719.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">240602t20242024gw fo d z eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783110750942</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9783110750942</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)583103</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1422563762</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield code="b">eng</subfield><subfield code="c">DE-B1597</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">DE</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM004000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="8">7p</subfield><subfield code="a">610.28</subfield><subfield code="q">DE-101</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MT 11200</subfield><subfield code="2">rvk</subfield><subfield code="0">(DE-625)rvk/160649:</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Healthcare Big Data Analytics :</subfield><subfield code="b">Computational Optimization and Cohesive Approaches /</subfield><subfield code="c">ed. by Akash Kumar Bhoi, Ranjit Panigrahi, Victor, Hugo C. de Albuquerque, Rutvij H. Jhaveri.</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">[2024]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2024</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (X, 344 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">10</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">1 Integration of neutrosophic logic for faster effective treatment of cancer patients -- </subfield><subfield code="t">2 Comparison of optimization techniques particle swarm optimization with genetic algorithm for medical image watermarking -- </subfield><subfield code="t">3 An analytical study of AI in overcoming mental illness -- </subfield><subfield code="t">4 COVID-19 case analysis and prediction using regression models -- </subfield><subfield code="t">5 Computer vision for medical diagnosis and surgery -- </subfield><subfield code="t">6 Detection of COVID-19 in IoMT cloud-based system using ensemble machine learning algorithms -- </subfield><subfield code="t">7 Prediction of big medical data using data analytics and deep learning -- </subfield><subfield code="t">8 Impact of deep learning applications in medical hyper spectral imaging -- </subfield><subfield code="t">9 Disease prediction mechanisms on large-scale big data with explainable deep learning models for multi-label classification problems in healthcare -- </subfield><subfield code="t">10 Application of big data analytic techniques for healthcare systems -- </subfield><subfield code="t">11 Big data security and privacy in healthcare -- </subfield><subfield code="t">12 Healthcare encryption using augmented intelligence -- </subfield><subfield code="t">13 Security system design for medical big data: layered security framework for protecting medical big data -- </subfield><subfield code="t">14 Big data analytics in effective implementation of healthcare management -- </subfield><subfield code="t">Brief biographies -- </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 highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.</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 02. Jun 2024)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Digital Health.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet der Dinge.</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) &amp; Semantics.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Big Data.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Digital Health.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Healthcare.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Internet Of Things.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Optimization.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Abdulraheem, Muyideen, </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">Abidemi Adeniyi, Emmanuel, </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">Agravanshi, Subandhu, </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">Albuquerque, Victor, Hugo C. de, </subfield><subfield code="e">editor.</subfield><subfield code="4">edt</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bamidele Awotunde, Joseph, </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">Dauda Oladipo, Idowu, </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">Ganeshkumar, M., </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">Gohil, Jay, </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">Gopalakrishnan, E. 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