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Cognitive And Soft Computing Techniques For The Analysis Of Healthcare Data


Cognitive And Soft Computing Techniques For The Analysis Of Healthcare Data
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Cognitive And Soft Computing Techniques For The Analysis Of Healthcare Data


Cognitive And Soft Computing Techniques For The Analysis Of Healthcare Data
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Author : Akash Kumar Bhoi
language : en
Publisher: Academic Press
Release Date : 2022-01-22

Cognitive And Soft Computing Techniques For The Analysis Of Healthcare Data written by Akash Kumar Bhoi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-22 with Computers categories.


Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning. - Focuses on data-centric operations in the Healthcare industry - Provides the latest trends in healthcare data analytics and practical implementation outcomes of the proposed models - Addresses real-time challenges and case studies in the Healthcare industry



Healthcare Big Data Analytics


Healthcare Big Data Analytics
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Author : Akash Kumar Bhoi
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-03-18

Healthcare Big Data Analytics written by Akash Kumar Bhoi 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 2024-03-18 with Computers categories.


This book highlights how optimized big data applications can be used for patient monitoring and clinical diagnosis. In fact, IoT-based applications are data-driven and mostly employ modern optimization techniques. The book also explores challenges, opportunities, and future research directions, discussing the stages of data collection and pre-processing, as well as the associated challenges and issues in data handling and setup.



Deep Learning For Smart Healthcare


Deep Learning For Smart Healthcare
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Author : K. Murugeswari
language : en
Publisher: CRC Press
Release Date : 2024-05-15

Deep Learning For Smart Healthcare written by K. Murugeswari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Medical categories.


Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new ways to apply deep learning algorithms in healthcare, including medical imaging and healthcare data analytics. It covers how deep learning can analyze a patient’s medical history efficiently to aid in recommending drugs and dosages. It discusses how deep learning can be applied to CT scans, MRI scans and ECGs to diagnose diseases. Other deep learning applications explored are extending the scope of patient record management, pain assessment, new drug design and managing the clinical trial process. Bringing together a wide range of research domains, this book can help to develop breakthrough applications for improving healthcare management and patient outcomes.



Principles And Methods Of Explainable Artificial Intelligence In Healthcare


Principles And Methods Of Explainable Artificial Intelligence In Healthcare
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Author : Albuquerque, Victor Hugo C. de
language : en
Publisher: IGI Global
Release Date : 2022-05-20

Principles And Methods Of Explainable Artificial Intelligence In Healthcare written by Albuquerque, Victor Hugo C. de and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-20 with Computers categories.


Explainable artificial intelligence is proficient in operating and analyzing the unconstrainted environment in fields like robotic medicine, robotic treatment, and robotic surgery, which rely on computational vision for analyzing complex situations. Explainable artificial intelligence is a well-structured customizable technology that makes it possible to generate promising unbiased outcomes. The model’s adaptability facilitates the management of heterogeneous healthcare data and the visualization of biological structures through virtual reality. Explainable artificial intelligence has newfound applications in the healthcare industry, such as clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. Principles and Methods of Explainable Artificial Intelligence in Healthcare discusses explainable artificial intelligence and its applications in healthcare, providing a broad overview of state-of-the-art approaches for accurate analysis and diagnosis. The book also encompasses computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, and medical imaging data that assist in earlier prediction. Covering topics such as neural networks and disease detection, this reference work is ideal for industry professionals, practitioners, academicians, researchers, scholars, instructors, and students.



Computational Intelligence In Healthcare 4


Computational Intelligence In Healthcare 4
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Author : Isabelle Bichindaritz
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-08

Computational Intelligence In Healthcare 4 written by Isabelle Bichindaritz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-08 with Computers categories.


Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.



Cognitive Informatics And Soft Computing


Cognitive Informatics And Soft Computing
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Author : Pradeep Kumar Mallick
language : en
Publisher: Springer Nature
Release Date : 2022-05-30

Cognitive Informatics And Soft Computing written by Pradeep Kumar Mallick and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-30 with Technology & Engineering categories.


This book presents best selected research papers presented at the 4th International Conference on Cognitive Informatics and Soft Computing (CISC 2021), held at Balasore College of Engineering & Technology, Balasore, Odisha, India, from 21–22 August 2021. It highlights, in particular, innovative research in the fields of cognitive informatics, cognitive computing, computational intelligence, advanced computing, and hybrid intelligent models and applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of computer science, artificial intelligence, cybernetics, automation control theory, and software engineering.



Computerized Systems For Diagnosis And Treatment Of Covid 19


Computerized Systems For Diagnosis And Treatment Of Covid 19
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Author : Joao Alexandre Lobo Marques
language : en
Publisher: Springer Nature
Release Date : 2023-06-26

Computerized Systems For Diagnosis And Treatment Of Covid 19 written by Joao Alexandre Lobo Marques and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-26 with Technology & Engineering categories.


This book describes the application of signal and image processing technologies, artificial intelligence, and machine learning techniques to support Covid-19 diagnosis and treatment. The book focuses on two main applications: critical diagnosis requiring high precision and speed, and treatment of symptoms, including those affecting the cardiovascular and neurological systems. The areas discussed in this book range from signal processing, time series analysis, and image segmentation to detection and classification. Technical approaches include deep learning, transfer learning, transformers, AutoML, and other machine learning techniques that can be considered not only for Covid-19 issues but also for different medical applications, with slight adjustments to the problem under study. The Covid-19 pandemic has impacted the entire world and changed how societies and individuals interact. Due to the high infection and mortality rates, and the multiple consequences of the virus infection in the human body, the challenges were vast and enormous. These necessitated the integration of different disciplines to address the problems. As a global response, researchers across academia and industry made several developments to provide computational solutions to support epidemiologic, managerial, and health/medical decisions. To that end, this book provides state-of-the-art information on the most advanced solutions.



Advanced Computational Intelligence Paradigms In Healthcare 3


Advanced Computational Intelligence Paradigms In Healthcare 3
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Author : Margarita Sordo
language : en
Publisher: Springer
Release Date : 2008-08-20

Advanced Computational Intelligence Paradigms In Healthcare 3 written by Margarita Sordo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-20 with Technology & Engineering categories.


Advanced Computational Intelligence (CI) paradigms are increasingly used for implementing robust computer applications to foster safety, quality and efficacy in all aspects of healthcare. This research book covers an ample spectrum of the most advanced applications of CI in healthcare. The first chapter introduces the reader to the field of computational intelligence and its applications in healthcare. In the following chapters, readers will gain an understanding of effective CI methodologies in several important topics including clinical decision support, decision making in medicine effectiveness, cognitive categorizing in medical information system as well as intelligent pervasive healthcare systems, and agent middleware for ubiquitous computing. Two chapters are devoted to imaging applications: detection and classification of microcalcifications in mammograms using evolutionary neural networks, and Bayesian methods for segmentation of medical images. The final chapters cover key aspects of healthcare, including computational intelligence in music processing for blind people and ethical healthcare agents. This book will be of interest to postgraduate students, professors and practitioners in the areas of intelligent systems and healthcare.



Augmented Intelligence In Healthcare A Pragmatic And Integrated Analysis


Augmented Intelligence In Healthcare A Pragmatic And Integrated Analysis
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Author : Sushruta Mishra
language : en
Publisher: Springer Nature
Release Date : 2022-04-19

Augmented Intelligence In Healthcare A Pragmatic And Integrated Analysis written by Sushruta Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-19 with Technology & Engineering categories.


The book discusses how augmented intelligence can increase the efficiency and speed of diagnosis in healthcare organizations. The concept of augmented intelligence can reflect the enhanced capabilities of human decision-making in clinical settings when augmented with computation systems and methods. It includes real-life case studies highlighting impact of augmented intelligence in health care. The book offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in healthcare challenges. It presents a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It also presents specific applications of augmented intelligence in health care, and architectural models and frameworks-based augmented solutions.



Soft Computing In Wireless Sensor Networks


Soft Computing In Wireless Sensor Networks
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Author : Huynh Thi Thanh Binh
language : en
Publisher: CRC Press
Release Date : 2018-09-27

Soft Computing In Wireless Sensor Networks written by Huynh Thi Thanh Binh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-27 with Computers categories.


This book focuses on the suitable methods to solve optimization problems in wireless network system utilizing digital sensors like Wireless Sensor Network. This kind of system has been emerging as the cornerstone technology for all new smart devices and its direct application in many fields in life.