Data Driven Approach For Bio Medical And Healthcare
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Data Driven Approach For Bio Medical And Healthcare
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Author : Nilanjan Dey
language : en
Publisher: Springer Nature
Release Date : 2022-10-27
Data Driven Approach For Bio Medical And Healthcare written by Nilanjan Dey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with Technology & Engineering categories.
The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.
Handbook Of Data Science Approaches For Biomedical Engineering
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Author : Valentina Emilia Balas
language : en
Publisher: Academic Press
Release Date : 2019-11-13
Handbook Of Data Science Approaches For Biomedical Engineering written by Valentina Emilia Balas and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-13 with Science categories.
Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc. - Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things - Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things - Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more
Data Driven Approaches For Healthcare
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Author : Chengliang Yang
language : en
Publisher: CRC Press
Release Date : 2019-10-01
Data Driven Approaches For Healthcare written by Chengliang Yang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Business & Economics categories.
Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal important insights into disproportionate spending patterns. This book presents data driven methods, especially machine learning, for understanding and approaching the high utilizers problem, using the example of a large public insurance program. It describes important goals for data driven approaches from different aspects of the high utilizer problem, and identifies challenges uniquely posed by this problem. Key Features: Introduces basic elements of health care data, especially for administrative claims data, including disease code, procedure codes, and drug codes Provides tailored supervised and unsupervised machine learning approaches for understanding and predicting the high utilizers Presents descriptive data driven methods for the high utilizer population Identifies a best-fitting linear and tree-based regression model to account for patients’ acute and chronic condition loads and demographic characteristics
Artificial Intelligence For Data Driven Medical Diagnosis
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Author : Deepak Gupta
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-02-08
Artificial Intelligence For Data Driven Medical Diagnosis written by Deepak Gupta and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Computers categories.
This book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results.
Handbook Of Computational Intelligence In Biomedical Engineering And Healthcare
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Author : Janmenjoy Nayak
language : en
Publisher: Elsevier
Release Date : 2021-04-14
Handbook Of Computational Intelligence In Biomedical Engineering And Healthcare written by Janmenjoy Nayak and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-14 with Medical categories.
Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/unstructured data on experimental analysis. Presents a comprehensive handbook that covers an Introduction to Computational Intelligence in Biomedical Engineering and Healthcare, Computational Intelligence Techniques, and Advanced and Emerging Techniques in Computational Intelligence Helps readers analyze and do advanced research in specialty healthcare applications Includes links to websites, videos, articles and other online content to expand and support primary learning objectives
Intelligent Data Analysis For Biomedical Applications
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Author : D. Jude Hemanth
language : en
Publisher: Academic Press
Release Date : 2019-03-15
Intelligent Data Analysis For Biomedical Applications written by D. Jude Hemanth and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Computers categories.
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases. - Provides the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection - Contains an analysis of medical databases to provide diagnostic expert systems - Addresses the integration of intelligent data analysis techniques within biomedical information systems
Data Driven Analytics For Healthcare
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Author : Meghna Sharma
language : en
Publisher: CRC Press
Release Date : 2025-02-10
Data Driven Analytics For Healthcare written by Meghna Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-10 with Computers categories.
The new book highlights the application of artificial intelligence, machine learning, and deep learning techniques to diagnose medical problems. General predictive analysis methods are explained in disease detection applications along with machine learning techniques for the implementation of predictive analysis methods. The book covers object detection approaches for diseases such as pneumonia, application of monitoring and tracking the coronavirus disease, various endodontic applications for handling diagnostic abnormalities using deep learning methods, applications of healthcare for human activity recognition, and more.
Intelligent Data Analytics For Bioinformatics And Biomedical Systems
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Author : Neha Sharma
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-11
Intelligent Data Analytics For Bioinformatics And Biomedical Systems written by Neha Sharma 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 2024-10-11 with Medical categories.
The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems. Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. It offers a thorough examination of advanced techniques, methodologies, and applications that utilize intelligence to improve results in the healthcare sector. With the exponential growth of data in these domains, the book explores how computational intelligence and advanced analytic techniques can be harnessed to extract insights, drive informed decisions, and unlock hidden patterns from vast datasets. From genomic analysis to disease diagnostics and personalized medicine, the book aims to showcase intelligent approaches that enable researchers, clinicians, and data scientists to unravel complex biological processes and make significant strides in understanding human health and diseases. This book is divided into three sections, each focusing on computational intelligence and data sets in biomedical systems. The first section discusses the fundamental concepts of computational intelligence and big data in the context of bioinformatics. This section emphasizes data mining, pattern recognition, and knowledge discovery for bioinformatics applications. The second part talks about computational intelligence and big data in biomedical systems. Based on how these advanced techniques are utilized in the system, this section discusses how personalized medicine and precision healthcare enable treatment based on individual data and genetic profiles. The last section investigates the challenges and future directions of computational intelligence and big data in bioinformatics and biomedical systems. This section concludes with discussions on the potential impact of computational intelligence on addressing global healthcare challenges. Audience Intelligent Data Analytics for Bioinformatics and Biomedical Systems is primarily targeted to professionals and researchers in bioinformatics, genetics, molecular biology, biomedical engineering, and healthcare. The book will also suit academicians, students, and professionals working in pharmaceuticals and interpreting biomedical data.
5g Impact On Biomedical Engineering
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Author : Abdallah Makhoul
language : en
Publisher: CRC Press
Release Date : 2022-05-18
5g Impact On Biomedical Engineering written by Abdallah Makhoul and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-18 with Technology & Engineering categories.
Considering the importance of wireless networks in healthcare, this book is dedicated to studying the innovations and advancements of wireless networks for biomedical application and their impact. This book focuses on a wide range of wireless technologies related to healthcare and biomedical applications which include, among others, body sensor networks, mobile networks, internet of things, mobile cloud computing, pervasive computing and wearable computing. First the authors explain how biomedical applications using wireless technologies are built across networks. The authors also detail 5G spectrum splicing for medical applicatons. They then discuss how wearable computing can be used as activity recognition tools for biomedical applications through remote health monitoring and and remote health risk assessment. Finally the authors provide detailed discussions on security and privacy in wirelessly transmitted medical senor data. This book targets research-oriented and professional readers. It would fit as a recommended supplemental reading for graduate students. It also helps researchers enter the field of wireless biomedical applications.
Techniques And Applications Of Biomedical Ai
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Author : Hammad, Mohamed
language : en
Publisher: IGI Global
Release Date : 2025-05-28
Techniques And Applications Of Biomedical Ai written by Hammad, Mohamed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Technology & Engineering categories.
Artificial Intelligence (AI) has become a transformative force in the biomedical field, offering powerful tools to analyze complex data, enhance diagnostics, and support personalized medicine. Machine learning algorithms can identify patterns in genomic data for disease prediction, while deep learning models excel in medical imaging, detecting conditions like cancer or neurological disorders with high accuracy. NLP enables insights from clinical records, supporting decision-making and automating administrative tasks. Meanwhile, AI-powered robotics and smart sensors enhance surgical precision and patient monitoring. Further research of these applications may improve patient outcomes and streamline healthcare systems. Techniques and Applications of Biomedical AI delves into the rapidly evolving field of prompt engineering, specifically within the context of biomedical AI. It addresses both the theoretical foundations and practical applications of prompt engineering, highlighting its potential to revolutionize healthcare and biomedical research. This book covers topics such as biology, medical technologies, and risk management, and is a useful resource for biologists, medical and healthcare professionals, engineers, academicians, researchers, and scientists.