Artificial Intelligence for Data-Driven Medical Diagnosis / / ed. by Siddhartha Bhattacharyya, Deepak Gupta, Utku Kose, Bao Le Nguyen.
This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical...
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| Superior document: | Title is part of eBook package: De Gruyter DG Ebook Package English 2021 |
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| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2021] ©2021 |
| Year of Publication: | 2021 |
| Language: | English |
| Series: | Intelligent Biomedical Data Analysis ,
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| Physical Description: | 1 online resource (XVIII, 308 p.) |
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Artificial Intelligence for Data-Driven Medical Diagnosis / ed. by Siddhartha Bhattacharyya, Deepak Gupta, Utku Kose, Bao Le Nguyen. Berlin ; Boston : De Gruyter, [2021] ©2021 1 online resource (XVIII, 308 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Intelligent Biomedical Data Analysis , 2629-7140 ; 3 Frontmatter -- Preface -- Acknowledgment -- Contents -- List of contributors -- 1 Performance of CNN for predicting cancerous lung nodules using LightGBM -- 2 Deep learning-based cellular image analysis for intelligent medical diagnosis -- 3 Deep learning approaches in metastatic breast cancer detection -- 4 Machine learning: an ultimate solution for diagnosis and treatment of cancer -- 5 Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy -- 6 Diagnosis disease from medical databases using neural networks: a review -- 7 A novel neutrosophic approach-based filtering and Gaussian mixture modeling clustering for CT/MR images -- 8 Decentralized solutions for data collection and privacy in healthcare -- 9 Navigation from conventional to intelligent healthcare: adoption of Internet of health things for noncommunicable disease screening, diagnosis, monitoring and treatment in community settings -- 10 Automated gastric cancer detection and classification using machine learning -- 11 Artificial intelligence applications for medical diagnosis and production with 3D printing technologies -- 12 Detection of breast cancer using deep neural networks with transfer learning on histopathological images -- 13 A machine vision technique-based tongue diagnosis system in Ayurveda -- 14 Vine copula and artificial neural network models to analyze breast cancer data -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results. 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) Artificial intelligence. Big Data. Bioinformatik. Diagnostik. Künstliche Intelligenz. Maschinelles Lernen. COMPUTERS / Intelligence (AI) & Semantics. bisacsh Aksoy, Bekir, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Anil-Inevi, Muge, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Aswath, S., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Aydoğan, Turgay, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bharati, Subrato, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bhattacharyya, Siddhartha, editor. edt http://id.loc.gov/vocabulary/relators/edt Cine, Ersin, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Dandil, Emre, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Delikoyun, Kerem, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Deperlioglu, Omer, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Farnoudkia, Hajar, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Fred, A. Lenin, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ganasegeran, Kurubaran, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gupta, Deepak, editor. edt http://id.loc.gov/vocabulary/relators/edt Hegde, Arundhati S., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Hossain Mondal, M. Rubaiyat, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Iqbal, Naiyar, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Karaarslan, Enis, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kemaloğlu, Nazan, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Konacaklı, Enis, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kose, Utku, editor. edt http://id.loc.gov/vocabulary/relators/edt Kumar, H. Ajay, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kumar, S. N., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Küçüksille, Ecir Uğur, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Le Nguyen, Bao, editor. edt http://id.loc.gov/vocabulary/relators/edt Namjoshi, Vikas, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ozcivici, Engin, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Padmanabhan, Parasuraman, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Pai, Shivani S., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Pal, Vinod Kumar, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Podder, Prajoy, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Purutçuoğlu, Vilda, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Qazi, Sahar, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Raza, Khalid, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Salman, Osamah, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sarigil, Oyku, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sayin, İrem, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Selvi, Ali Osman, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Singla, Sonia, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sumanth, N. 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Aksoy, Bekir, |
| title |
Artificial Intelligence for Data-Driven Medical Diagnosis / |
| spellingShingle |
Artificial Intelligence for Data-Driven Medical Diagnosis / Intelligent Biomedical Data Analysis , Frontmatter -- Preface -- Acknowledgment -- Contents -- List of contributors -- 1 Performance of CNN for predicting cancerous lung nodules using LightGBM -- 2 Deep learning-based cellular image analysis for intelligent medical diagnosis -- 3 Deep learning approaches in metastatic breast cancer detection -- 4 Machine learning: an ultimate solution for diagnosis and treatment of cancer -- 5 Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy -- 6 Diagnosis disease from medical databases using neural networks: a review -- 7 A novel neutrosophic approach-based filtering and Gaussian mixture modeling clustering for CT/MR images -- 8 Decentralized solutions for data collection and privacy in healthcare -- 9 Navigation from conventional to intelligent healthcare: adoption of Internet of health things for noncommunicable disease screening, diagnosis, monitoring and treatment in community settings -- 10 Automated gastric cancer detection and classification using machine learning -- 11 Artificial intelligence applications for medical diagnosis and production with 3D printing technologies -- 12 Detection of breast cancer using deep neural networks with transfer learning on histopathological images -- 13 A machine vision technique-based tongue diagnosis system in Ayurveda -- 14 Vine copula and artificial neural network models to analyze breast cancer data -- Index |
| title_full |
Artificial Intelligence for Data-Driven Medical Diagnosis / ed. by Siddhartha Bhattacharyya, Deepak Gupta, Utku Kose, Bao Le Nguyen. |
| title_fullStr |
Artificial Intelligence for Data-Driven Medical Diagnosis / ed. by Siddhartha Bhattacharyya, Deepak Gupta, Utku Kose, Bao Le Nguyen. |
| title_full_unstemmed |
Artificial Intelligence for Data-Driven Medical Diagnosis / ed. by Siddhartha Bhattacharyya, Deepak Gupta, Utku Kose, Bao Le Nguyen. |
| title_auth |
Artificial Intelligence for Data-Driven Medical Diagnosis / |
| title_alt |
Frontmatter -- Preface -- Acknowledgment -- Contents -- List of contributors -- 1 Performance of CNN for predicting cancerous lung nodules using LightGBM -- 2 Deep learning-based cellular image analysis for intelligent medical diagnosis -- 3 Deep learning approaches in metastatic breast cancer detection -- 4 Machine learning: an ultimate solution for diagnosis and treatment of cancer -- 5 Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy -- 6 Diagnosis disease from medical databases using neural networks: a review -- 7 A novel neutrosophic approach-based filtering and Gaussian mixture modeling clustering for CT/MR images -- 8 Decentralized solutions for data collection and privacy in healthcare -- 9 Navigation from conventional to intelligent healthcare: adoption of Internet of health things for noncommunicable disease screening, diagnosis, monitoring and treatment in community settings -- 10 Automated gastric cancer detection and classification using machine learning -- 11 Artificial intelligence applications for medical diagnosis and production with 3D printing technologies -- 12 Detection of breast cancer using deep neural networks with transfer learning on histopathological images -- 13 A machine vision technique-based tongue diagnosis system in Ayurveda -- 14 Vine copula and artificial neural network models to analyze breast cancer data -- Index |
| title_new |
Artificial Intelligence for Data-Driven Medical Diagnosis / |
| title_sort |
artificial intelligence for data-driven medical diagnosis / |
| series |
Intelligent Biomedical Data Analysis , |
| series2 |
Intelligent Biomedical Data Analysis , |
| publisher |
De Gruyter, |
| publishDate |
2021 |
| physical |
1 online resource (XVIII, 308 p.) Issued also in print. |
| contents |
Frontmatter -- Preface -- Acknowledgment -- Contents -- List of contributors -- 1 Performance of CNN for predicting cancerous lung nodules using LightGBM -- 2 Deep learning-based cellular image analysis for intelligent medical diagnosis -- 3 Deep learning approaches in metastatic breast cancer detection -- 4 Machine learning: an ultimate solution for diagnosis and treatment of cancer -- 5 Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy -- 6 Diagnosis disease from medical databases using neural networks: a review -- 7 A novel neutrosophic approach-based filtering and Gaussian mixture modeling clustering for CT/MR images -- 8 Decentralized solutions for data collection and privacy in healthcare -- 9 Navigation from conventional to intelligent healthcare: adoption of Internet of health things for noncommunicable disease screening, diagnosis, monitoring and treatment in community settings -- 10 Automated gastric cancer detection and classification using machine learning -- 11 Artificial intelligence applications for medical diagnosis and production with 3D printing technologies -- 12 Detection of breast cancer using deep neural networks with transfer learning on histopathological images -- 13 A machine vision technique-based tongue diagnosis system in Ayurveda -- 14 Vine copula and artificial neural network models to analyze breast cancer data -- Index |
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2629-7140 ; |
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https://doi.org/10.1515/9783110668322 https://www.degruyter.com/isbn/9783110668322 https://www.degruyter.com/document/cover/isbn/9783110668322/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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610.285 |
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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="a">610.285</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Artificial Intelligence for Data-Driven Medical Diagnosis /</subfield><subfield code="c">ed. by Siddhartha Bhattacharyya, Deepak Gupta, Utku Kose, Bao Le Nguyen.</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 (XVIII, 308 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">3</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Preface -- </subfield><subfield code="t">Acknowledgment -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">List of contributors -- </subfield><subfield code="t">1 Performance of CNN for predicting cancerous lung nodules using LightGBM -- </subfield><subfield code="t">2 Deep learning-based cellular image analysis for intelligent medical diagnosis -- </subfield><subfield code="t">3 Deep learning approaches in metastatic breast cancer detection -- </subfield><subfield code="t">4 Machine learning: an ultimate solution for diagnosis and treatment of cancer -- </subfield><subfield code="t">5 Artificial intelligence in medicine (AIM): machine learning in cancer diagnosis, prognosis and therapy -- </subfield><subfield code="t">6 Diagnosis disease from medical databases using neural networks: a review -- </subfield><subfield code="t">7 A novel neutrosophic approach-based filtering and Gaussian mixture modeling clustering for CT/MR images -- </subfield><subfield code="t">8 Decentralized solutions for data collection and privacy in healthcare -- </subfield><subfield code="t">9 Navigation from conventional to intelligent healthcare: adoption of Internet of health things for noncommunicable disease screening, diagnosis, monitoring and treatment in community settings -- </subfield><subfield code="t">10 Automated gastric cancer detection and classification using machine learning -- </subfield><subfield code="t">11 Artificial intelligence applications for medical diagnosis and production with 3D printing technologies -- </subfield><subfield code="t">12 Detection of breast cancer using deep neural networks with transfer learning on histopathological images -- </subfield><subfield code="t">13 A machine vision technique-based tongue diagnosis system in Ayurveda -- </subfield><subfield code="t">14 Vine copula and artificial neural network models to analyze breast cancer data -- </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 collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.</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">Artificial intelligence.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatik.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diagnostik.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Künstliche Intelligenz.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Maschinelles Lernen.</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">Aksoy, Bekir, </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">Anil-Inevi, Muge, </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">Aswath, S., </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">Aydoğan, Turgay, </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">Bharati, Subrato, </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">Bhattacharyya, Siddhartha, </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">Cine, Ersin, </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">Dandil, Emre, </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">Delikoyun, Kerem, </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">Deperlioglu, Omer, </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">Farnoudkia, Hajar, </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">Fred, A. 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