Modern Trends in Cybernetics and Systems: Proceedings of Sections 5 Communication, education and informatics, 6 Artificial intelligence and 7 Neuro- and bio-cybernetics PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Modern Trends in Cybernetics and Systems: Proceedings of Sections 5 Communication, education and informatics, 6 Artificial intelligence and 7 Neuro- and bio-cybernetics PDF full book. Access full book title Modern Trends in Cybernetics and Systems: Proceedings of Sections 5 Communication, education and informatics, 6 Artificial intelligence and 7 Neuro- and bio-cybernetics by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN:
Category : Cybernetics
Languages : en
Pages : 1266
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Cybernetics
Languages : en
Pages : 1266
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Cybernetics
Languages : en
Pages : 1266
Get Book Here
Book Description
Author: John Rose
Publisher:
ISBN:
Category : Cybernetics
Languages : en
Pages : 1272
Get Book Here
Book Description
Author: 国立国会図書館 (Japan)
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 662
Get Book Here
Book Description
Author: M. A. Ansari
Publisher: Elsevier
ISBN: 0443218714
Category : Science
Languages : en
Pages : 656
Get Book Here
Book Description
Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system. The primary goal of this book is to detect difficulties and their solutions to medical practitioners for the early detection and prediction of any disease. The 56 chapters in the volume provide beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications. With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare. - Discusses fundamental and advanced approaches as well as optimization techniques used in AI for healthcare systems - Includes chapters on various established imaging methods as well as emerging methods for skin cancer, brain tumor, epileptic seizures, and kidney diseases - Adopts a bottom-up approach and proposes recent trends in simple manner with the help of real-world examples - Synthesizes the existing international evidence and expert opinions on implementing decommissioning in healthcare - Promotes research in the field of health and hospital management in order to improve the efficiency of healthcare delivery systems
Author:
Publisher: Springer
ISBN: 9783540081999
Category : Science
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Congresses and conventions
Languages : en
Pages : 916
Get Book Here
Book Description
Author: Bikesh Kumar Singh
Publisher: CRC Press
ISBN: 1000540375
Category : Computers
Languages : en
Pages : 253
Get Book Here
Book Description
Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc. Despite several studies that have proved the efficacy of AI/ML tools in providing improved healthcare solutions, it has not gained the trust of health-care practitioners and medical scientists. This is due to poor reporting of the technology, variability in medical data, small datasets, and lack of standard guidelines for application of AI. Therefore, the development of new AI/ML tools for various domains of medicine is an ongoing field of research. Machine Learning in Healthcare: Fundamentals and Recent Applications discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises. This text is ideal for readers interested in machine learning without any background knowledge and looking to implement machine-learning models for healthcare systems.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
Get Book Here
Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author: Vinit Kumar Gunjan
Publisher: Springer Nature
ISBN: 9813366915
Category : Technology & Engineering
Languages : en
Pages : 427
Get Book Here
Book Description
This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.
