9789811692239 - computational intelligence in oncology: applications in diagnosis, prognosis and therapeutics of cancers: 1016 (studies in computational intelligence) (13 resultados)
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Serie: Studies in Computational Intelligence, Libro 507 de 538. Libro 507 de 538 - Studies in Computational Intelligence
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Taschenbuch. Condición: Neu. Computational Intelligence in Oncology | Applications in Diagnosis, Prognosis and Therapeutics of Cancers | Khalid Raza | Taschenbuch | xx | Englisch | 2023 | Springer | EAN 9789811692239 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartm…ann[at]springer[dot]com | Anbieter: preigu.
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Editorial: Springer 2023
Serie: Studies in Computational Intelligence, Libro 507 de 538. Libro 507 de 538 - Studies in Computational Intelligence
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Serie: Studies in Computational Intelligence, Libro 507 de 538. Libro 507 de 538 - Studies in Computational Intelligence
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics.The cancer has been known as a heterogeneous disease categorized in several diff…erent subtypes. According to WHO's recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management.Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.
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Editorial: Springer Nature 2023
Serie: Studies in Computational Intelligence, Libro 507 de 538. Libro 507 de 538 - Studies in Computational Intelligence
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Paperback. Condición: Brand New. 487 pages. 9.25x6.10x0.98 inches. In Stock.
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Serie: Studies in Computational Intelligence, Libro 507 de 538. Libro 507 de 538 - Studies in Computational Intelligence
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Condición: new. Questo è un articolo print on demand.
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Editorial: Springer Nature Singapore 2023
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Covers exclusive applications of computational intelligence Presents cancer recurrence prediction, survival prediction, and detection of malignant or premalignant lesionsIncludes fundamental c…oncepts of computational oncology, translational.
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Editorial: Springer Nature Singapore Mrz 2023 2023
Serie: Studies in Computational Intelligence, Libro 507 de 538. Libro 507 de 538 - Studies in Computational Intelligence
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics.The cancer has been known as a heterogeneous disease categorized… in several different subtypes. According to WHO's recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management.Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research. 488 pp. Englisch.
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Editorial: Springer, Springer Nature Singapore Mär 2023 2023
Serie: Studies in Computational Intelligence, Libro 507 de 538. Libro 507 de 538 - Studies in Computational Intelligence
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics.The cancer has been known as a heterogeneous disease categorized in…several different subtypes. According to WHO's recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management.Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 488 pp. Englisch.
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Editorial: Springer 2023
Serie: Studies in Computational Intelligence, Libro 507 de 538. Libro 507 de 538 - Studies in Computational Intelligence
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