Artificial Intelligence and Computational Dynamics for Biomedical Research / / ed. by Ankur Saxena, Nicolas Brault.
This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information &...
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| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2022 |
| Year of Publication: | 2022 |
| Language: | English |
| Series: | Intelligent Biomedical Data Analysis ,
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| Physical Description: | 1 online resource (VI, 292 p.) |
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Artificial Intelligence and Computational Dynamics for Biomedical Research / ed. by Ankur Saxena, Nicolas Brault. Berlin ; Boston : De Gruyter, [2022] ©2022 1 online resource (VI, 292 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Intelligent Biomedical Data Analysis , 2629-7140 ; 8 Frontmatter -- Contents -- Recent advancements in biomedical research in the era of AI and ML -- Prediction of cardiovascular diseases using random forest and naive Bayes algorithm -- Big data analytics for personalized medicine -- Intellection of biological life in current era -- Integrating artificial intelligence techniques for analysis of next-generation sequencing data -- Artificial intelligence: the future of neuroscience -- Role of big data and artificial intelligence for COVID-19 and cancer diagnosis and treatments -- Integrating screening modalities for early and precision-oriented evidence-based screening of cervical cancer – a holistic approach -- Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer -- The role of artificial intelligence, machine learning and deep learning in the diagnosis, prognosis and treatment of cancers primarily associated with women -- Oropharyngeal cancer prognosis based on clinicopathologic and quantitative imaging biomarkers with multiparametric model and machine learning methods -- Artificial intelligence and machine learning in healthcare: an ethical perspective -- Artificial intelligence in dentistry: current issues and perspectives -- AI for pattern recognition and objectivity: the case of melanoma detection -- Ethical horizons of biobank-based artificial intelligence in biomedical research -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields. 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 29. Mai 2023) Artificial intelligence Medical applications. Biology Research Data processing. Medicine Research Data processing. Big Data. Biomedizin. Cloudcomputing. Künstliche Intelligenz. Medizinische Diagnostik. COMPUTERS / Intelligence (AI) & Semantics. bisacsh Artificial Intelligence. Biomedicine. Cloud Computing. Medical Diagnosis. Aucouturier, Etienne, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Avasthi, Anupama, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Avasthi, Anushree A, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bansal, Hina, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Brault, Nicolas, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Brault, Nicolas, editor. edt http://id.loc.gov/vocabulary/relators/edt Chauhan, Ritu, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Chaurasia, Ankur, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Chawla, Bhavika, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Chinnam, Sampath, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Cumarasurier, Shantosh, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Das, Asim Bikas, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb De, Anveshita, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Duchemann, Benoît, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gupta, Payal, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Hussein, Nada, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Jadaun, Ranjana, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Jaggi, Vinita Kumar, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Jain, Shreya, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Jain, Vanshika, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Janardhanan, Rajiv, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Katare, Deepshikha Pande, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kohli, Reet Kaur, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kulshrestha, Sudeepti, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kumar, Ravindra, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Mani, Ruchi Jakhmola, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Meetei, Potshangbam Angamba, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Mehta, Vaishali, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Moni, Vidya, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Narad, Priyanka, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Prajapati, Jyoti, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Prajapati, Kajal, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Priyadarshini, Payal, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Rani, Shikha, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ranjan, Priya, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Rathi, Bhawna, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Rathore, Shruti, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Saluja, Kunal, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Saxena, Ankur, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Saxena, Ankur, editor. edt http://id.loc.gov/vocabulary/relators/edt Saxena, Mohit, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Segan, Mehak, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sengupta, Abhishek, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sharma, Kaamya, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sharma, Mukund, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sharma, Nitin, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sharma, Parinita, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Shrivastav, Kumar Dron, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Singh, Aditya Vikram, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Singh, Harpreet, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sreedharan, Smitha Mony, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Srivastava, Dhaval Kumar, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Suthar, Jashoda Kishanlal, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Taneja, Neha, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 9783110766820 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 English 9783110993899 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 9783110994810 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 English 9783110994223 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 9783110994193 ZDB-23-DEI EPUB 9783110762082 print 9783110761993 https://doi.org/10.1515/9783110762044 https://www.degruyter.com/isbn/9783110762044 Cover https://www.degruyter.com/document/cover/isbn/9783110762044/original |
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Aucouturier, Etienne, |
| title |
Artificial Intelligence and Computational Dynamics for Biomedical Research / |
| spellingShingle |
Artificial Intelligence and Computational Dynamics for Biomedical Research / Intelligent Biomedical Data Analysis , Frontmatter -- Contents -- Recent advancements in biomedical research in the era of AI and ML -- Prediction of cardiovascular diseases using random forest and naive Bayes algorithm -- Big data analytics for personalized medicine -- Intellection of biological life in current era -- Integrating artificial intelligence techniques for analysis of next-generation sequencing data -- Artificial intelligence: the future of neuroscience -- Role of big data and artificial intelligence for COVID-19 and cancer diagnosis and treatments -- Integrating screening modalities for early and precision-oriented evidence-based screening of cervical cancer – a holistic approach -- Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer -- The role of artificial intelligence, machine learning and deep learning in the diagnosis, prognosis and treatment of cancers primarily associated with women -- Oropharyngeal cancer prognosis based on clinicopathologic and quantitative imaging biomarkers with multiparametric model and machine learning methods -- Artificial intelligence and machine learning in healthcare: an ethical perspective -- Artificial intelligence in dentistry: current issues and perspectives -- AI for pattern recognition and objectivity: the case of melanoma detection -- Ethical horizons of biobank-based artificial intelligence in biomedical research -- Index |
| title_full |
Artificial Intelligence and Computational Dynamics for Biomedical Research / ed. by Ankur Saxena, Nicolas Brault. |
| title_fullStr |
Artificial Intelligence and Computational Dynamics for Biomedical Research / ed. by Ankur Saxena, Nicolas Brault. |
| title_full_unstemmed |
Artificial Intelligence and Computational Dynamics for Biomedical Research / ed. by Ankur Saxena, Nicolas Brault. |
| title_auth |
Artificial Intelligence and Computational Dynamics for Biomedical Research / |
| title_alt |
Frontmatter -- Contents -- Recent advancements in biomedical research in the era of AI and ML -- Prediction of cardiovascular diseases using random forest and naive Bayes algorithm -- Big data analytics for personalized medicine -- Intellection of biological life in current era -- Integrating artificial intelligence techniques for analysis of next-generation sequencing data -- Artificial intelligence: the future of neuroscience -- Role of big data and artificial intelligence for COVID-19 and cancer diagnosis and treatments -- Integrating screening modalities for early and precision-oriented evidence-based screening of cervical cancer – a holistic approach -- Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer -- The role of artificial intelligence, machine learning and deep learning in the diagnosis, prognosis and treatment of cancers primarily associated with women -- Oropharyngeal cancer prognosis based on clinicopathologic and quantitative imaging biomarkers with multiparametric model and machine learning methods -- Artificial intelligence and machine learning in healthcare: an ethical perspective -- Artificial intelligence in dentistry: current issues and perspectives -- AI for pattern recognition and objectivity: the case of melanoma detection -- Ethical horizons of biobank-based artificial intelligence in biomedical research -- Index |
| title_new |
Artificial Intelligence and Computational Dynamics for Biomedical Research / |
| title_sort |
artificial intelligence and computational dynamics for biomedical research / |
| series |
Intelligent Biomedical Data Analysis , |
| series2 |
Intelligent Biomedical Data Analysis , |
| publisher |
De Gruyter, |
| publishDate |
2022 |
| physical |
1 online resource (VI, 292 p.) Issued also in print. |
| contents |
Frontmatter -- Contents -- Recent advancements in biomedical research in the era of AI and ML -- Prediction of cardiovascular diseases using random forest and naive Bayes algorithm -- Big data analytics for personalized medicine -- Intellection of biological life in current era -- Integrating artificial intelligence techniques for analysis of next-generation sequencing data -- Artificial intelligence: the future of neuroscience -- Role of big data and artificial intelligence for COVID-19 and cancer diagnosis and treatments -- Integrating screening modalities for early and precision-oriented evidence-based screening of cervical cancer – a holistic approach -- Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer -- The role of artificial intelligence, machine learning and deep learning in the diagnosis, prognosis and treatment of cancers primarily associated with women -- Oropharyngeal cancer prognosis based on clinicopathologic and quantitative imaging biomarkers with multiparametric model and machine learning methods -- Artificial intelligence and machine learning in healthcare: an ethical perspective -- Artificial intelligence in dentistry: current issues and perspectives -- AI for pattern recognition and objectivity: the case of melanoma detection -- Ethical horizons of biobank-based artificial intelligence in biomedical research -- Index |
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9783110762044 9783110766820 9783110993899 9783110994810 9783110994223 9783110994193 9783110762082 9783110761993 |
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2629-7140 ; |
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R - Medicine |
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R - General Medicine |
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R859 |
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R 3859.7 A78 A78 42023 |
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https://doi.org/10.1515/9783110762044 https://www.degruyter.com/isbn/9783110762044 https://www.degruyter.com/document/cover/isbn/9783110762044/original |
| illustrated |
Not Illustrated |
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600 - Technology |
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610 - Medicine & health |
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610 - Medicine & health |
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610.28563 |
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3610.28563 |
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610.28563 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>10677nam a22015495i 4500</leader><controlfield tag="001">9783110762044</controlfield><controlfield tag="003">DE-B1597</controlfield><controlfield tag="005">20230529101353.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr || ||||||||</controlfield><controlfield tag="008">230529t20222022gw fo d z eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783110762044</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1515/9783110762044</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-B1597)590711</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1348480997</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-B1597</subfield><subfield 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code="a">Boston : </subfield><subfield code="b">De Gruyter, </subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (VI, 292 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">8</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">Recent advancements in biomedical research in the era of AI and ML -- </subfield><subfield code="t">Prediction of cardiovascular diseases using random forest and naive Bayes algorithm -- </subfield><subfield code="t">Big data analytics for personalized medicine -- </subfield><subfield code="t">Intellection of biological life in current era -- </subfield><subfield code="t">Integrating artificial intelligence techniques for analysis of next-generation sequencing data -- </subfield><subfield code="t">Artificial intelligence: the future of neuroscience -- </subfield><subfield code="t">Role of big data and artificial intelligence for COVID-19 and cancer diagnosis and treatments -- </subfield><subfield code="t">Integrating screening modalities for early and precision-oriented evidence-based screening of cervical cancer – a holistic approach -- </subfield><subfield code="t">Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer -- </subfield><subfield code="t">The role of artificial intelligence, machine learning and deep learning in the diagnosis, prognosis and treatment of cancers primarily associated with women -- </subfield><subfield code="t">Oropharyngeal cancer prognosis based on clinicopathologic and quantitative imaging biomarkers with multiparametric model and machine learning methods -- </subfield><subfield code="t">Artificial intelligence and machine learning in healthcare: an ethical perspective -- </subfield><subfield code="t">Artificial intelligence in dentistry: current issues and perspectives -- </subfield><subfield code="t">AI for pattern recognition and objectivity: the case of melanoma detection -- </subfield><subfield code="t">Ethical horizons of biobank-based artificial intelligence in biomedical research -- </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 work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.</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 29. 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