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Artificial Intelligence and Computational Dynamics for Biomedical Research / ed. by Ankur Saxena, Nicolas Brault.

Contributor(s): Aucouturier, Etienne [contributor.] | Avasthi, Anupama [contributor.] | Avasthi, Anushree A [contributor.] | Bansal, Hina [contributor.] | Brault, Nicolas [contributor.] | Brault, Nicolas [editor.] | Chauhan, Ritu [contributor.] | Chaurasia, Ankur [contributor.] | Chawla, Bhavika [contributor.] | Chinnam, Sampath [contributor.] | Cumarasurier, Shantosh [contributor.] | Das, Asim Bikas [contributor.] | De, Anveshita [contributor.] | Duchemann, Benoît [contributor.] | Gupta, Payal [contributor.] | Hussein, Nada [contributor.] | Jadaun, Ranjana [contributor.] | Jaggi, Vinita Kumar [contributor.] | Jain, Shreya [contributor.] | Jain, Vanshika [contributor.] | Janardhanan, Rajiv [contributor.] | Katare, Deepshikha Pande [contributor.] | Kohli, Reet Kaur [contributor.] | Kulshrestha, Sudeepti [contributor.] | Kumar, Ravindra [contributor.] | Mani, Ruchi Jakhmola [contributor.] | Meetei, Potshangbam Angamba [contributor.] | Mehta, Vaishali [contributor.] | Moni, Vidya [contributor.] | Narad, Priyanka [contributor.] | Prajapati, Jyoti [contributor.] | Prajapati, Kajal [contributor.] | Priyadarshini, Payal [contributor.] | Rani, Shikha [contributor.] | Ranjan, Priya [contributor.] | Rathi, Bhawna [contributor.] | Rathore, Shruti [contributor.] | Saluja, Kunal [contributor.] | Saxena, Ankur [contributor.] | Saxena, Ankur [editor.] | Saxena, Mohit [contributor.] | Segan, Mehak [contributor.] | Sengupta, Abhishek [contributor.] | Sharma, Kaamya [contributor.] | Sharma, Mukund [contributor.] | Sharma, Nitin [contributor.] | Sharma, Parinita [contributor.] | Shrivastav, Kumar Dron [contributor.] | Singh, Aditya Vikram [contributor.] | Singh, Harpreet [contributor.] | Sreedharan, Smitha Mony [contributor.] | Srivastava, Dhaval Kumar [contributor.] | Suthar, Jashoda Kishanlal [contributor.] | Taneja, Neha [contributor.].
Material type: materialTypeLabelBookSeries: Intelligent Biomedical Data Analysis , 8.Publisher: Berlin ; Boston : De Gruyter, [2022]Copyright date: ©2022Description: 1 online resource (VI, 292 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110762044.Subject(s): Artificial intelligence -- Medical applications | Biology -- Research -- Data processing | Medicine -- Research -- Data processing | Big Data | Biomedizin | Cloudcomputing | Künstliche Intelligenz | Medizinische Diagnostik | COMPUTERS / Intelligence (AI) & Semantics | Artificial Intelligence | Big Data | Biomedicine | Cloud Computing | Medical DiagnosisAdditional physical formats: No title; No titleDDC classification: 610.28563 Online resources: Click here to access online | Click here to access online | Cover 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
Title is part of eBook package:DG Plus DeG Package 2022 Part 1Title is part of eBook package:EBOOK PACKAGE COMPLETE 2022 EnglishTitle is part of eBook package:EBOOK PACKAGE COMPLETE 2022Title is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2022 EnglishTitle is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2022Summary: 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.
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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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http://purl.org/coar/access_right/c_16ec

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)

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