Advanced Classification Techniques for Healthcare Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Classification Techniques for Healthcare Analysis write by Chakraborty, Chinmay. This book was released on 2019-02-22. Advanced Classification Techniques for Healthcare Analysis available in PDF, EPUB and Kindle. 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
Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis write by Nilanjan Dey. This book was released on 2019-07-31. Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis available in PDF, EPUB and Kindle. 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
Handbook on Intelligent Healthcare Analytics
Handbook on Intelligent Healthcare Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook on Intelligent Healthcare Analytics write by A. Jaya. This book was released on 2022-05-09. Handbook on Intelligent Healthcare Analytics available in PDF, EPUB and Kindle. 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.
Improving Medical Data Classification with Learning Algorithms
Improving Medical Data Classification with Learning Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Improving Medical Data Classification with Learning Algorithms write by Tarle Sukadeo. This book was released on 2023-07-10. Improving Medical Data Classification with Learning Algorithms available in PDF, EPUB and Kindle. This focuses on enhancing the classification of medical data using learning algorithms. With the increasing availability and complexity of medical data, accurate and efficient classification techniques are crucial for effective healthcare decision-making. The research aims to explore various learning algorithms and their potential to improve the classification accuracy of medical data. By leveraging machine learning algorithms, this research seeks to optimize the process of categorizing medical data into specific classes or categories. The study will investigate the performance and effectiveness of different algorithms, such as decision trees, support vector machines, neural networks, and ensemble methods. These algorithms will be evaluated based on their ability to handle diverse medical data types, including patient records, diagnostic reports, medical images, and laboratory results. The outcomes of this research have the potential to contribute significantly to the field of medical data analysis. The enhanced classification techniques can help healthcare professionals accurately interpret and utilize medical data, leading to improved diagnoses, treatment planning, and patient care. Additionally, the findings may pave the way for developing automated systems that can assist medical professionals in data-driven decision-making, reducing human errors and enhancing overall healthcare efficiency. Overall, its aims to advance the field of medical data classification by leveraging learning algorithms to achieve more accurate and reliable results. The research findings have the potential to positively impact healthcare practices, facilitating better healthcare outcomes and improving patient well-being.
Advanced Prognostic Predictive Modelling in Healthcare Data Analytics
Advanced Prognostic Predictive Modelling in Healthcare Data Analytics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advanced Prognostic Predictive Modelling in Healthcare Data Analytics write by Sudipta Roy. This book was released on 2021-04-22. Advanced Prognostic Predictive Modelling in Healthcare Data Analytics available in PDF, EPUB and Kindle. 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.
