Early Prediction Of Diseases Using Deep Learning And Machine Learning Techniques
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Early Prediction Of Diseases Using Deep Learning And Machine Learning Techniques
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Author : Dr. Sasidhar B
language : en
Publisher: Archers & Elevators Publishing House
Release Date :
Early Prediction Of Diseases Using Deep Learning And Machine Learning Techniques written by Dr. Sasidhar B and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Machine Learning And The Internet Of Medical Things In Healthcare
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Author : Krishna Kant Singh
language : en
Publisher: Academic Press
Release Date : 2021-04-14
Machine Learning And The Internet Of Medical Things In Healthcare written by Krishna Kant Singh and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-14 with Science categories.
Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. - Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning - Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics - Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies
2019 Ieee 5th International Conference For Convergence In Technology I2ct
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2019-03-29
2019 Ieee 5th International Conference For Convergence In Technology I2ct written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-29 with categories.
The scope of conference papers and exhibits including but not limited to the following area related to ELECTRONICS AND COMMUNICATION ENGG, ELECTRICAL ENGINEERING , INFORMATION TECHNOLOGY COMPUTER ENGINEERING WIRELESS NETWORKING COMPUTATIONAL INTELLIGENCE ADVANCED COMPUTING ELECTRONICS AND INTERDISCIPLINARY DATA COMMUNICATION AND NETWORKING RENEWABLE AND SUSTAINABLE ENERGY POWER ENGINEERING AND CONTROL SYSTEM SIGNAL AND IMAGE PROCESSING COMMUNICATION SYSTEM BIOMEDICAL ENGINEERING DESIGN, MATERIALS AND MANUFACTURING FLEET TECHNOLOGIES ADVANCES IN CIVIL AND ENVIRONMENTAL ENGINEERING SPECIAL CALL FOR PAPERS CONVERGENCE IN TECHNOLOGY
Smart Healthcare Systems
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Author : Adwitiya Sinha
language : en
Publisher: CRC Press
Release Date : 2019-07-24
Smart Healthcare Systems written by Adwitiya Sinha and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-24 with Computers categories.
About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources, for application-based healthcare research. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. Salient Features of the Book Exhaustive coverage of Data Analysis using R Real-life healthcare models for: Visually Impaired Disease Diagnosis and Treatment options Applications of Big Data and Deep Learning in Healthcare Drug Discovery Complete guide to learn the knowledge discovery process, build versatile real life healthcare applications Compare and analyze recent healthcare technologies and trends Target Audience This book is mainly targeted at researchers, undergraduate, postgraduate students, academicians, and scholars working in the area of data science and its application to health sciences. Also, the book is beneficial for engineers who are engaged in developing actual healthcare solutions.
Machine Learning And Deep Learning Techniques For Medical Image Recognition
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Author : Ben Othman Soufiene
language : en
Publisher: CRC Press
Release Date : 2023-12-01
Machine Learning And Deep Learning Techniques For Medical Image Recognition written by Ben Othman Soufiene and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Technology & Engineering categories.
Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples. Features: Offers important key aspects in the development and implementation of machine learning and deep learning approaches toward developing prediction tools and models and improving medical diagnosis Teaches how machine learning and deep learning algorithms are applied to a broad range of application areas, including chest X-ray, breast computer-aided detection, lung and chest, microscopy, and pathology Covers common research problems in medical image analysis and their challenges Focuses on aspects of deep learning and machine learning for combating COVID-19 Includes pertinent case studies This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging.
Proceedings Of The First International Conference On Data Engineering And Machine Intelligence
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Author : S. Rakesh Kumar
language : en
Publisher: Springer Nature
Release Date : 2024-12-20
Proceedings Of The First International Conference On Data Engineering And Machine Intelligence written by S. Rakesh Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-20 with Computers categories.
This volume constitutes peer-reviewed proceedings of the First International Conference on Data Engineering and Machine Intelligence, ICDEMI 2023. The research problems about data engineering and machine learning are covered in this book. The proceedings cover recent contributions and novel developments from researchers across industry and academia in data science, data engineering, artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems from technological and social perspectives. This book will serve as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners.
Tracking And Preventing Diseases With Artificial Intelligence
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Author : Mayuri Mehta
language : en
Publisher: Springer Nature
Release Date : 2021-07-14
Tracking And Preventing Diseases With Artificial Intelligence written by Mayuri Mehta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-14 with Technology & Engineering categories.
This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress level identification of a person from his/her speech, automatic diagnosis of disease from X-ray images, intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells, information retrieval from electronic medical record using named entity recognition approaches, and prediction of drug-target interactions. The book is suitable for computer scientists having a bachelor degree in computer science. The book is an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care. Researchers working in the multidisciplinary areas use this book to discover the current developments. Besides its use in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases. Medical institutions use this book as reference material and give tutorials to medical experts on how the advanced AI and ML techniques contribute to the diagnosis and prediction of the diseases.
Proceedings Of Second International Conference On Computing Communications And Cyber Security
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Author : Pradeep Kumar Singh
language : en
Publisher: Springer Nature
Release Date : 2021-05-24
Proceedings Of Second International Conference On Computing Communications And Cyber Security written by Pradeep Kumar Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-24 with Technology & Engineering categories.
This book features selected research papers presented at the Second International Conference on Computing, Communications, and Cyber-Security (IC4S 2020), organized in Krishna Engineering College (KEC), Ghaziabad, India, along with Academic Associates; Southern Federal University, Russia; IAC Educational, India; and ITS Mohan Nagar, Ghaziabad, India during 3–4 October 2020. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues.
Ai In Disease Detection
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Author : Rajesh Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-29
Ai In Disease Detection written by Rajesh Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-29 with Computers categories.
Comprehensive resource encompassing recent developments, current use cases, and future opportunities for AI in disease detection AI in Disease Detection discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation. This book assists readers in assessing big data in healthcare and determining the drawbacks and possibilities associated with the implementation of AI in disease detection; categorizing major applications of AI in disease detection such as cardiovascular disease detection, cancer diagnosis, neurodegenerative disease detection, and infectious disease control, as well as implementing distinct AI methods and algorithms with medical data including patient records and medical images, and understanding the ethical and social consequences of AI in disease detection such as confidentiality, bias, and accessibility to healthcare. Sample topics explored in AI in Disease Detection include: Legal implication of AI in healthcare, with approaches to ensure privacy and security of patients and their data Identification of new biomarkers for disease detection, prediction of disease outcomes, and customized treatment plans depending on patient characteristics AI’s role in disease surveillance and outbreak detection, with case studies of its current usage in real-world scenarios Clinical validation processes for AI disease detection models and how they can be validated for accuracy and effectiveness Delivering excellent coverage of the subject, AI in Disease Detection is an essential up-to-date reference for students, healthcare professionals, academics, and practitioners seeking to understand the possible applications of AI in disease detection and stay on the cutting edge of the most recent breakthroughs in the field.
Proceedings Of The 3rd International Conference On Computer Science S Complex Systems And Their Applications
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Author : Toufik Marir
language : en
Publisher: Springer Nature
Release Date : 2025-07-11
Proceedings Of The 3rd International Conference On Computer Science S Complex Systems And Their Applications written by Toufik Marir and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Technology & Engineering categories.
This book features a diverse collection of high-quality papers covering the latest advancements in Artificial Intelligence and its Applications, Cybersecurity, Software Engineering, Emergent Technologies, Networks and Embedded Systems. The ICCSA’2024 Proceedings bring together the latest research presented at the International Conference on Computer Science's Complex Systems and Their Applications (ICCSA’2024), held on November 13–14, 2024, in Oum El Bouaghi, Algeria. Edited by leading experts in the field, this publication showcases innovative methodologies, theoretical breakthroughs, and real-world applications that shape the future of complex systems. With contributions from renowned researchers from around the world, who carefully selected the best research contributions for this international conference, the ICCSA’2024 Proceedings stand as a valuable resource for academics, industry professionals, and students seeking insights into the evolving landscape of complex systems. Whether you are interested in complex systems and their engineering or their interdisciplinary applications, this book provides comprehensive and in-depth coverage of the most pressing challenges and transformative innovations in this field.