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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications, Jena Om Prakash, Bhushan Bharat, Kose Utku


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Автор: Jena Om Prakash, Bhushan Bharat, Kose Utku
Название:  Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
ISBN: 9781032126876
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1032126876
Обложка/Формат: Hardcover
Страницы: 280
Вес: 0.58 кг.
Дата издания: 25.02.2022
Серия: Biomedical and robotics healthcare
Язык: English
Иллюстрации: 41 tables, black and white; 36 line drawings, black and white; 54 halftones, black and white; 90 illustrations, black and white
Размер: 23.39 x 15.60 x 1.75 cm
Читательская аудитория: Tertiary education (us: college)
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: The book incorporates the many facets of computational intelligence, such as machine learning and deep learning, to provide groundbreaking developments in healthcare applications. It discusses theory, analytical methods, numerical simulation, scientific techniques, analytical outcomes, and computational structuring.

Challenges and Applications of Data Analytics in Social Perspectives

Автор: V. Sathiyamoorthi, Atilla Elci
Название: Challenges and Applications of Data Analytics in Social Perspectives
ISBN: 1799825671 ISBN-13(EAN): 9781799825678
Издательство: Mare Nostrum (Eurospan)
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Цена: 196810.00 T
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Описание: Provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The publication examines topics that include collaborative filtering, data visualization, and edge computing.

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Автор: Hassanien Aboul Ella, Darwish Ashraf
Название: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
ISBN: 3030593371 ISBN-13(EAN): 9783030593377
Издательство: Springer
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data.

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Автор: Maleh Yassine, Shojafar Mohammad, Alazab Mamoun
Название: Machine Intelligence and Big Data Analytics for Cybersecurity Applications
ISBN: 3030570231 ISBN-13(EAN): 9783030570231
Издательство: Springer
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis.

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Автор: Maleh Yassine, Shojafar Mohammad, Alazab Mamoun
Название: Machine Intelligence and Big Data Analytics for Cybersecurity Applications
ISBN: 3030570266 ISBN-13(EAN): 9783030570262
Издательство: Springer
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Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis.

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Автор: Hassanien Aboul Ella, Darwish Ashraf
Название: Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
ISBN: 3030593401 ISBN-13(EAN): 9783030593407
Издательство: Springer
Рейтинг:
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data.

Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics

Автор: Chakraborty Chinmay, Ghosh Uttam, Ravi Vinayakumar
Название: Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics
ISBN: 3030666328 ISBN-13(EAN): 9783030666323
Издательство: Springer
Цена: 130430.00 T
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Описание: This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics.

Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data: 4th Internat

Автор: Reyes Mauricio, Henriques Abreu Pedro, Cardoso Jaime
Название: Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data: 4th Internat
ISBN: 3030874435 ISBN-13(EAN): 9783030874438
Издательство: Springer
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Цена: 51230.00 T
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Описание: iMIMIC 2021 Workshop.- Interpretable Deep Learning for Surgical Tool Management.- Soft Attention Improves Skin Cancer Classification Performance.- Deep Gradient based on Collective Arti cial Intelligence for AD Diagnosis and Prognosis.- This explains That: Congruent Image-Report Generation for Explainable Medical Image Analysis with Cyclic Generative Adversarial Networks.- Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions.- The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.- Voxel-level Importance Maps for Interpretable Brain Age Estimation.- TDA4MedicalData Workshop.- Lattice Paths for Persistent Diagrams.- Neighborhood complex based machine learning (NCML) models for drug design.- Predictive modelling of highly multiplexed tumour tissue images by graph neural networks.- Statistical modeling of pulmonary vasculatures with topological priors in CT volumes.- Topological Detection of Alzheimer's Disease using Betti Curves.


Big Data Analytics In Bioinformatics And Healthcare

Автор: Wang, Li & Perrizo
Название: Big Data Analytics In Bioinformatics And Healthcare
ISBN: 1466666110 ISBN-13(EAN): 9781466666115
Издательство: Mare Nostrum (Eurospan)
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Цена: 247630.00 T
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Описание: As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information.Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 136310.00 T
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Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Blueprints for Text Analytics Using Python: Machine Learning Based Solutions for Common Real World (Nlp) Applications

Автор: Albrecht Jens, Ramachandran Sidharth, Winkler Christian
Название: Blueprints for Text Analytics Using Python: Machine Learning Based Solutions for Common Real World (Nlp) Applications
ISBN: 149207408X ISBN-13(EAN): 9781492074083
Издательство: Wiley
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Цена: 67570.00 T
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Описание: This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly.

Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems

Автор: Tsihrintzis George A., Virvou Maria, Sakkopoulos Evangelos
Название: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems
ISBN: 3030156303 ISBN-13(EAN): 9783030156305
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation.

Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications

Автор: Kumar Pardeep, Singh Amit Kumar
Название: Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications
ISBN: 9811594945 ISBN-13(EAN): 9789811594946
Издательство: Springer
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Цена: 158380.00 T
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Описание: Chapter 1. Secure Multimodal Access with 2D and 3D Ears.- Chapter 2. Efficient and Low Overhead Detection of Brain Diseases using Deep Learning based Sparse MRI Image Classification.- Chapter 3. Continual Deep Learning Framework for Medical Media Screening and Archival.- Chapter 4. KannadaRes-NeXt: a Deep Residual Network for Kannada Numeral Recognition.- Chapter 5. Secure Image Transmission in Wireless Network using Conventional Neural Network and DOST.- Chapter 6. Robust General Twin Support Vector Machine with Pinball Loss Function.- Chapter 7. Noise Resilient Thresholding based on Fuzzy Logic and Non-linear Filtering.- Chapter 8. Deep Learning Methods for Audio Events Detection.- Chapter 9. A Framework for Multi-lingual Scene Text Detection using K-means++ and Memetic Algorithms.- Chapter 10. Recent Advancements in Medical Imaging: A Machine Learning Approach.- Chapter 11. Solving Image Processing Critical Problems using Machine Learning.- Chapter 12. Spoken Language Identification of Indian Languages using MFCC Features.- Chapter 13. Performance Evaluation of One-Class Classifiers (OCC) for Damage Detection in Structural Health Monitoring.- Chapter 14. Brain Tumor Classification in MRI Images using Transfer Learning.- Chapter 15. Semantic based Vectorization Technique for Hindi Language.


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