Intelligent Information Retrieval For Healthcare Systems

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Intelligent Information Retrieval for Healthcare Systems

Author : Parma Nand
Publisher : Unknown
Page : 128 pages
File Size : 52,6 Mb
Release : 2021-12-15
Category : Electronic
ISBN : 1685073018

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Intelligent Information Retrieval for Healthcare Systems by Parma Nand Pdf

Ontology-based information extraction is considered as an effective method to improve the performance of information extraction (IE) systems. For research and disbursal of customized healthcare services, a major challenge is to efficiently retrieve and analyze the individual patient data from a large volume of heterogeneous data over a long span of time. This requires effective ontology-based information retrieval approaches for clinical information systems. This book is an attempt to highlight the key advances in ontology-based information retrieval techniques especially in the healthcare domain. The varied chapters attempt to uncover the current challenges in the application of ontology-based information retrieval techniques to the healthcare systems. This book is the first of its kind that highlights the ontology-driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems. It can serve as a textbook for courses in healthcare systems. It can also serve as a reference book to medical practitioners and researchers involved in implementing as well as providing customized health care solutions to patients.

Ontology-Based Information Retrieval for Healthcare Systems

Author : Vishal Jain,Ritika Wason,Jyotir Moy Chatterjee,Dac-Nhuong Le
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 46,7 Mb
Release : 2020-07-29
Category : Computers
ISBN : 9781119641384

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Ontology-Based Information Retrieval for Healthcare Systems by Vishal Jain,Ritika Wason,Jyotir Moy Chatterjee,Dac-Nhuong Le Pdf

With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data. This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas: Semantic data integration in e-health care systems Keyword-based medical information retrieval Ontology-based query retrieval support for e-health implementation Ontologies as a database management system technology for medical information retrieval Information integration using contextual knowledge and ontology merging Collaborative ontology-based information indexing and retrieval in health informatics An ontology-based text mining framework for vulnerability assessment in health and social care An ontology-based multi-agent system for matchmaking patient healthcare monitoring A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems A methodology for ontology based multi agent systems development Ontology based systems for clinical systems: validity, ethics and regulation

Ontology-Based Information Retrieval for Healthcare Systems

Author : Vishal Jain,Ritika Wason,Jyotir Moy Chatterjee,Dac-Nhuong Le
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 45,8 Mb
Release : 2020-07-10
Category : Computers
ISBN : 9781119641360

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Ontology-Based Information Retrieval for Healthcare Systems by Vishal Jain,Ritika Wason,Jyotir Moy Chatterjee,Dac-Nhuong Le Pdf

With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data. This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas: Semantic data integration in e-health care systems Keyword-based medical information retrieval Ontology-based query retrieval support for e-health implementation Ontologies as a database management system technology for medical information retrieval Information integration using contextual knowledge and ontology merging Collaborative ontology-based information indexing and retrieval in health informatics An ontology-based text mining framework for vulnerability assessment in health and social care An ontology-based multi-agent system for matchmaking patient healthcare monitoring A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems A methodology for ontology based multi agent systems development Ontology based systems for clinical systems: validity, ethics and regulation

Intelligent Information Retrieval for Healthcare Systems

Author : Parma Nand Astya
Publisher : Nova Science Publishers
Page : 265 pages
File Size : 45,9 Mb
Release : 2021-12-02
Category : Electronic books
ISBN : 1685073654

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Intelligent Information Retrieval for Healthcare Systems by Parma Nand Astya Pdf

"Ontology-based information extraction is considered as an effective method to improve the performance of information extraction (IE) systems. For research and disbursal of customized healthcare services, a major challenge is to efficiently retrieve and analyze the individual patient data from a large volume of heterogeneous data over a long span of time. This requires effective ontology-based information retrieval approaches for clinical information systems. This book is an attempt to highlight the key advances in ontology-based information retrieval techniques especially in the healthcare domain. The varied chapters attempt to uncover the current challenges in the application of ontology-based information retrieval techniques to the healthcare systems. This book is the first of its kind that highlights the ontology-driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems. It can serve as a textbook for courses in healthcare systems. It can also serve as a reference book to medical practitioners and researchers involved in implementing as well as providing customized health care solutions to patients"--

Innovative Systems for Intelligent Health Informatics

Author : Faisal Saeed,Fathey Mohammed,Abdulaziz Al-Nahari
Publisher : Springer Nature
Page : 1262 pages
File Size : 43,7 Mb
Release : 2021-05-05
Category : Computers
ISBN : 9783030707132

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Innovative Systems for Intelligent Health Informatics by Faisal Saeed,Fathey Mohammed,Abdulaziz Al-Nahari Pdf

This book presents the papers included in the proceedings of the 5th International Conference of Reliable Information and Communication Technology 2020 (IRICT 2020) that was held virtually on December 21–22, 2020. The main theme of the book is “Innovative Systems for Intelligent Health Informatics”. A total of 140 papers were submitted to the conference, but only 111 papers were published in this book. The book presents several hot research topics which include health informatics, bioinformatics, information retrieval, artificial intelligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering.

Intelligent Healthcare

Author : Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar
Publisher : Springer Nature
Page : 323 pages
File Size : 40,8 Mb
Release : 2021-07-02
Category : Technology & Engineering
ISBN : 9783030670511

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Intelligent Healthcare by Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar Pdf

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Biomedical Data Mining for Information Retrieval

Author : Sujata Dash,Subhendu Kumar Pani,S. Balamurugan,Ajith Abraham
Publisher : John Wiley & Sons
Page : 450 pages
File Size : 52,9 Mb
Release : 2021-08-06
Category : Computers
ISBN : 9781119711261

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Biomedical Data Mining for Information Retrieval by Sujata Dash,Subhendu Kumar Pani,S. Balamurugan,Ajith Abraham Pdf

BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.

Big Data Analytics and Intelligence

Author : Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal
Publisher : Emerald Group Publishing
Page : 252 pages
File Size : 54,9 Mb
Release : 2020-09-30
Category : Business & Economics
ISBN : 9781839091018

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Big Data Analytics and Intelligence by Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal Pdf

Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.

Sustainable Development in AI, Blockchain, and E-Governance Applications

Author : Kumar, Rajeev,Abdul Hamid, Abu Bakar,Binti Ya’akub, Noor Inayah,Sharan, Hari Om,Kumar, Sandeep
Publisher : IGI Global
Page : 295 pages
File Size : 55,8 Mb
Release : 2024-02-09
Category : Business & Economics
ISBN : 9798369317235

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Sustainable Development in AI, Blockchain, and E-Governance Applications by Kumar, Rajeev,Abdul Hamid, Abu Bakar,Binti Ya’akub, Noor Inayah,Sharan, Hari Om,Kumar, Sandeep Pdf

In the age of immediate technical expansion, our world faces a multifaceted challenge: ensuring the sustainability of our digital transformation. Governments and organizations have wholeheartedly embraced innovative technologies such as artificial intelligence, blockchain, and e-governance, but in doing so, they have encountered a complex web of issues. These range from cybersecurity concerns in an increasingly digitalized world to the need for intelligent systems capable of managing automation infrastructure and interconnected environments. Sustainable Development in AI, Blockchain, and E-Governance Applications offers a forward-thinking approach that harnesses the synergy between intelligent systems, machine learning, deep learning, and blockchain methods. It explores data-driven decision-making, automation infrastructure, autonomous transportation, and the creation of connected buildings, all aimed at crafting a sustainable digital future. By delving into topics like machine learning for smart parking, disease classification through neural networks, and the Internet of Things (IoT) for smarter cities, this book equips academic scholars with the tools they need to navigate the complex terrain of technology and governance. Academic scholars and researchers in technology, governance, and sustainability will find this book to be an indispensable resource. It caters to those seeking a comprehensive understanding of current and future trends in the integration of intelligent systems with cybersecurity applications.

Computational Intelligence in Healthcare Informatics

Author : D. P. Acharjya,Kun Ma (Computer scientist)
Publisher : Springer Nature
Page : 401 pages
File Size : 41,6 Mb
Release : 2024
Category : Computational intelligence
ISBN : 9789819988532

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Computational Intelligence in Healthcare Informatics by D. P. Acharjya,Kun Ma (Computer scientist) Pdf

The book presents advancements in computational intelligence in perception with healthcare applications. Besides, the concepts, theory, and applications in various domains of healthcare systems including decision making in healthcare management, disease diagnosis, and electronic health records will be presented in a lucid manner. To achieve these objectives, both theoretical advances and its applications to healthcare problems will be stressed upon. This has been done to make the edited book more flexible and to stimulate further research interest in topics. The book is divided into four sections such as theoretical foundation of computational intelligence techniques, computational intelligence in analyzing health data, computational intelligence in electronic health record (EHR), and computational intelligence in ethical issues in health care.

Data Science for Healthcare

Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Publisher : Springer
Page : 367 pages
File Size : 54,6 Mb
Release : 2019-02-23
Category : Computers
ISBN : 9783030052492

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Data Science for Healthcare by Sergio Consoli,Diego Reforgiato Recupero,Milan Petković Pdf

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

Semantic Web for Effective Healthcare Systems

Author : Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Abha Jain
Publisher : John Wiley & Sons
Page : 352 pages
File Size : 53,7 Mb
Release : 2021-11-12
Category : Computers
ISBN : 9781119764151

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Semantic Web for Effective Healthcare Systems by Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Abha Jain Pdf

SEMANTIC WEB FOR EFFECTIVE HEALTHCARE SYSTEMS The book summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions Semantic Web technologies have the opportunity to transform the way healthcare providers utilize technology to gain insights and knowledge from their data and make treatment decisions. Both Big Data and Semantic Web technologies can complement each other to address the challenges and add intelligence to healthcare management systems. The aim of this book is to analyze the current status on how the semantic web is used to solve health data integration and interoperability problems, and how it provides advanced data linking capabilities that can improve search and retrieval of medical data. Chapters analyze the tools and approaches to semantic health data analysis and knowledge discovery. The book discusses the role of semantic technologies in extracting and transforming healthcare data before storing it in repositories. It also discusses different approaches for integrating heterogeneous healthcare data. This innovative book offers: The first of its kind and highlights only the ontology driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems; Presents a comprehensive examination of the emerging research in areas of the semantic web; Discusses studies on new research areas including ontological engineering, semantic annotation and semantic sentiment analysis; Helps readers understand key concepts in semantic web applications for the biomedical engineering and healthcare fields; Includes coverage of key application areas of the semantic web. Audience: Researchers and graduate students in computer science, biomedical engineering, electronic and software engineering, as well as industry scientific researchers, clinicians, and systems managers in biomedical fields.

Cyber Intelligence and Information Retrieval

Author : João Manuel R. S. Tavares,Paramartha Dutta,Soumi Dutta,Debabrata Samanta
Publisher : Springer Nature
Page : 630 pages
File Size : 52,7 Mb
Release : 2021-09-28
Category : Technology & Engineering
ISBN : 9789811642845

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Cyber Intelligence and Information Retrieval by João Manuel R. S. Tavares,Paramartha Dutta,Soumi Dutta,Debabrata Samanta Pdf

This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2021), held at Institute of Engineering & Management, Kolkata, India during 20–21 May 2021. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high-performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining in dynamic environment, higher-order neural computing, rough set and fuzzy set theory, and nature-inspired computing techniques.

Intelligent Systems in Healthcare and Disease Identification using Data Science

Author : Gururaj H L,Radhika A D,Divya C D,Ravi Kumar V,Yu-Chen Hu
Publisher : CRC Press
Page : 274 pages
File Size : 43,9 Mb
Release : 2023-10-10
Category : Computers
ISBN : 9781000962871

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Intelligent Systems in Healthcare and Disease Identification using Data Science by Gururaj H L,Radhika A D,Divya C D,Ravi Kumar V,Yu-Chen Hu Pdf

The health technology has become a hot topic in academic research. It employs the theory of social networks into the different levels of the prediction and analysis and has brought new possibilities for the development of technology. This book is a descriptive summary of challenges and methods using disease identification with various case studies from diverse authors across the globe. One of the new buzzwords in healthcare sector that has become popular over years is health informatics. Healthcare professionals must deal with an increasing number of computers and computer programs in their daily work. With rapid growth of digital data, the role of analytics in healthcare has created a significant impact on healthcare professional’s life. Improvements in storage data, computational power and paral- lelization has also contributed to uptake this technology. This book is intended for use by researchers, health informatics professionals, academicians and undergraduate and postgraduate students interested in knowing more about health informatics. It aims to provide a brief overview about informatics, its history and area of practice, laws in health informatics, challenges and technologies in health informatics, applica- tion of informatics in various sectors and so on. Finally, the research avenues in health informatics along with some case studies are discussed.

Big Data Intelligence for Smart Applications

Author : Youssef Baddi,Youssef Gahi,Yassine Maleh,Mamoun Alazab,Loai Tawalbeh
Publisher : Springer Nature
Page : 343 pages
File Size : 40,5 Mb
Release : 2022-01-18
Category : Computers
ISBN : 9783030879549

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Big Data Intelligence for Smart Applications by Youssef Baddi,Youssef Gahi,Yassine Maleh,Mamoun Alazab,Loai Tawalbeh Pdf

Today, the use of machine intelligence, expert systems, and analytical technologies combined with Big Data is the natural evolution of both disciplines. As a result, there is a pressing need for new and innovative algorithms to help us find effective and practical solutions for smart applications such as smart cities, IoT, healthcare, and cybersecurity. This book presents the latest advances in big data intelligence for smart applications. It explores several problems and their solutions regarding computational intelligence and big data for smart applications. It also discusses new models, practical solutions,and technological advances related to developing and transforming cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.