Advanced Classification Techniques For Healthcare Analysis

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Advanced Classification Techniques for Healthcare Analysis

Author : Chakraborty, Chinmay
Publisher : IGI Global
Page : 424 pages
File Size : 44,5 Mb
Release : 2019-02-22
Category : Medical
ISBN : 9781522577973

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Advanced Classification Techniques for Healthcare Analysis by Chakraborty, Chinmay Pdf

Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Author : Nilanjan Dey
Publisher : Academic Press
Page : 218 pages
File Size : 41,5 Mb
Release : 2019-07-31
Category : Science
ISBN : 9780128180051

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis by Nilanjan Dey Pdf

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications Introduces several techniques for medical image processing and analysis for CAD systems design

Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems

Author : Deepshikha Agarwal,Khushboo Tripathi,Kumar Krishen
Publisher : CRC Press
Page : 362 pages
File Size : 49,6 Mb
Release : 2023-07-31
Category : Computers
ISBN : 9781000906004

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Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems by Deepshikha Agarwal,Khushboo Tripathi,Kumar Krishen Pdf

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.

Smart Medical Data Sensing and IoT Systems Design in Healthcare

Author : Chakraborty, Chinmay
Publisher : IGI Global
Page : 288 pages
File Size : 53,9 Mb
Release : 2019-09-20
Category : Medical
ISBN : 9781799802624

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Smart Medical Data Sensing and IoT Systems Design in Healthcare by Chakraborty, Chinmay Pdf

Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase the efficiency and quality of patient care. Healthcare technology can only become faster, more profitable, and more flexible as additional research on its advancements is conducted and collected. Smart Medical Data Sensing and IoT Systems Design in Healthcare is an essential reference source that focuses on robust and easy solutions for the delivery of medical information from patients to doctors and explores low-cost, high-performance, highly efficient, deployable IoT system options in healthcare systems. Featuring research on topics such as hospital management systems, electronic health records, and bio-signals, this book is ideally designed for technologists, engineers, scientists, clinicians, biomedical engineers, hospital directors, doctors, nurses, healthcare practitioners, telemedical agents, students, and academicians seeking coverage on the latest technological developments in medical data analysis and connectivity.

Transitioning Healthcare Support in Developing Countries From the US to China: Emerging Research and Opportunities

Author : Eyombo, Leo,Murray-Bachmann, Renee
Publisher : IGI Global
Page : 135 pages
File Size : 46,9 Mb
Release : 2021-05-21
Category : Medical
ISBN : 9781799844518

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Transitioning Healthcare Support in Developing Countries From the US to China: Emerging Research and Opportunities by Eyombo, Leo,Murray-Bachmann, Renee Pdf

In terms of healthcare, in both the People’s Republic of China and the United States there have been dramatic changes within the past 60 years. The PRC has evolved to be a superpower and a major player in the international healthcare development arena whereas the USA has struggled to maintain its image as a major builder of soft diplomacy. When it comes to delivering healthcare, Africa is a continent with many developing countries with individualized needs that calls for individualized healthcare plans, and both the PRC and USA have struggled with this relationship. The PRC on one hand has had social conflict with the average African, which has been detrimental to relations, the USA on the other hand, has reduced international development funds and has been in a healthcare crisis of its own. Due to these changes, Africa has essentially become the last battleground for soft power with healthcare being the measuring tool. Transitioning Healthcare Support in Developing Countries From the US to China: Emerging Research and Opportunities explores the history of healthcare in Africa from the 1960s to the COVID-19 (Coronavirus) Pandemic in 2020. This book examines the relationship between the People’s Republic of China (PRC) and the United States of America (USA) in providing healthcare services to Africa and documents the struggles and areas of both success and failure in doing so. The chapters cover issues such as racism in PRC residing in Africa and the USA’s struggle with coronavirus. This book is ideal for government officials, medical personnel, policymakers, international agencies, practitioners, stakeholders, researchers, academicians, and students interested in the relations and healthcare delivery between both the USA and PRC to Africa.

Research Anthology on Artificial Intelligence Applications in Security

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2253 pages
File Size : 44,9 Mb
Release : 2020-11-27
Category : Computers
ISBN : 9781799877486

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Research Anthology on Artificial Intelligence Applications in Security by Management Association, Information Resources Pdf

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development

Author : Sam Goundar,Archana Purwar,Ajmer Singh
Publisher : CRC Press
Page : 350 pages
File Size : 53,9 Mb
Release : 2022-10-19
Category : Computers
ISBN : 9781000652536

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Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development by Sam Goundar,Archana Purwar,Ajmer Singh Pdf

This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.

Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes

Author : Karâa, Wahiba Ben Abdessalem
Publisher : IGI Global
Page : 335 pages
File Size : 44,9 Mb
Release : 2015-11-03
Category : Medical
ISBN : 9781466688124

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Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes by Karâa, Wahiba Ben Abdessalem Pdf

Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences. Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlighting current research intended to advance the medical field, this publication is essential for use by researchers, advanced-level students, academicians, medical professionals, and technology developers. An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.

Advanced Data Analytics in Health

Author : Philippe J. Giabbanelli,Vijay K. Mago,Elpiniki I. Papageorgiou
Publisher : Springer
Page : 216 pages
File Size : 50,6 Mb
Release : 2018-04-20
Category : Technology & Engineering
ISBN : 9783319779119

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Advanced Data Analytics in Health by Philippe J. Giabbanelli,Vijay K. Mago,Elpiniki I. Papageorgiou Pdf

This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.

Handbook on Intelligent Healthcare Analytics

Author : A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 49,6 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9781119791799

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Handbook on Intelligent Healthcare Analytics by A. Jaya,K. Kalaiselvi,Dinesh Goyal,Dhiya Al-Jumeily Pdf

HANDBOOK OF INTELLIGENT HEALTHCARE ANALYTICS The book explores the various recent tools and techniques used for deriving knowledge from healthcare data analytics for researchers and practitioners. The power of healthcare data analytics is being increasingly used in the industry. Advanced analytics techniques are used against large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information. A Handbook on Intelligent Healthcare Analytics covers both the theory and application of the tools, techniques, and algorithms for use in big data in healthcare and clinical research. It provides the most recent research findings to derive knowledge using big data analytics, which helps to analyze huge amounts of real-time healthcare data, the analysis of which can provide further insights in terms of procedural, technical, medical, and other types of improvements in healthcare. In addition, the reader will find in this Handbook: Innovative hybrid machine learning and deep learning techniques applied in various healthcare data sets, as well as various kinds of machine learning algorithms existing such as supervised, unsupervised, semi-supervised, reinforcement learning, and guides how readers can implement the Python environment for machine learning; An exploration of predictive analytics in healthcare; The various challenges for smart healthcare, including privacy, confidentiality, authenticity, loss of information, attacks, etc., that create a new burden for providers to maintain compliance with healthcare data security. In addition, this book also explores various sources of personalized healthcare data and the commercial platforms for healthcare data analytics. Audience Healthcare professionals, researchers, and practitioners who wish to figure out the core concepts of smart healthcare applications and the innovative methods and technologies used in healthcare will all benefit from this book.

Optimization for Decision Making II

Author : Víctor Yepes,José M. Moreno-Jiménez
Publisher : MDPI
Page : 300 pages
File Size : 48,8 Mb
Release : 2020-11-25
Category : Technology & Engineering
ISBN : 9783039436071

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Optimization for Decision Making II by Víctor Yepes,José M. Moreno-Jiménez Pdf

In the current context of the electronic governance of society, both administrations and citizens are demanding the greater participation of all the actors involved in the decision-making process relative to the governance of society. This book presents collective works published in the recent Special Issue (SI) entitled “Optimization for Decision Making II”. These works give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and the application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks, improve quality in making decisions or, in general, to solve problems. In addition, a sensitivity or robustness analysis should be done to validate/analyze the influence of uncertainty regarding decision-making. This book brings together a collection of inter-/multi-disciplinary works applied to the optimization of decision making in a coherent manner.

Advances in Automation, Signal Processing, Instrumentation, and Control

Author : Venkata Lakshmi Narayana Komanapalli,N. Sivakumaran,Santoshkumar Hampannavar
Publisher : Springer Nature
Page : 3212 pages
File Size : 52,9 Mb
Release : 2021-03-04
Category : Technology & Engineering
ISBN : 9789811582219

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Advances in Automation, Signal Processing, Instrumentation, and Control by Venkata Lakshmi Narayana Komanapalli,N. Sivakumaran,Santoshkumar Hampannavar Pdf

This book presents the select proceedings of the International Conference on Automation, Signal Processing, Instrumentation and Control (i-CASIC) 2020. The book mainly focuses on emerging technologies in electrical systems, IoT-based instrumentation, advanced industrial automation, and advanced image and signal processing. It also includes studies on the analysis, design and implementation of instrumentation systems, and high-accuracy and energy-efficient controllers. The contents of this book will be useful for beginners, researchers as well as professionals interested in instrumentation and control, and other allied fields.

6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania

Author : Simona Vlad,Nicolae Marius Roman
Publisher : Springer
Page : 353 pages
File Size : 46,8 Mb
Release : 2019-05-16
Category : Technology & Engineering
ISBN : 9789811362071

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6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania by Simona Vlad,Nicolae Marius Roman Pdf

This volume presents the contributions of the 6th International Conference on Advancements of Medicine and Health Care through Technology – MediTech 2018, held between 17 – 20 October 2018 in Cluj-Napoca, Romania. The papers of this Proceedings volume present new developments in : - Health Care Technology - Medical Devices, Measurement and Instrumentation - Medical Imaging, Image and Signal Processing - Modeling and Simulation - Molecular Bioengineering - Biomechanics

Computational Intelligence Paradigms in Advanced Pattern Classification

Author : Marek R. Ogiela,Lakhmi C Jain
Publisher : Springer
Page : 199 pages
File Size : 44,6 Mb
Release : 2012-01-13
Category : Technology & Engineering
ISBN : 9783642240492

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Computational Intelligence Paradigms in Advanced Pattern Classification by Marek R. Ogiela,Lakhmi C Jain Pdf

This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting recognition, medical image analysis and interpretation, development of cognitive systems for image computer understanding, moving object detection, advanced image filtration and intelligent multi-object labelling and classification. It is directed to the scientists, application engineers, professors, professors and students will find this book useful.

Advanced Prognostic Predictive Modelling in Healthcare Data Analytics

Author : Sudipta Roy,Lalit Mohan Goyal,Mamta Mittal
Publisher : Springer Nature
Page : 317 pages
File Size : 53,7 Mb
Release : 2021-04-22
Category : Technology & Engineering
ISBN : 9789811605383

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Advanced Prognostic Predictive Modelling in Healthcare Data Analytics by Sudipta Roy,Lalit Mohan Goyal,Mamta Mittal Pdf

This book discusses major technical advancements and research findings in the field of prognostic modelling in healthcare image and data analysis. The use of prognostic modelling as predictive models to solve complex problems of data mining and analysis in health care is the feature of this book. The book examines the recent technologies and studies that reached the practical level and becoming available in preclinical and clinical practices in computational intelligence. The main areas of interest covered in this book are highest quality, original work that contributes to the basic science of processing, analysing and utilizing all aspects of advanced computational prognostic modelling in healthcare image and data analysis.