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Computational Intelligence And Soft Computing Applications In Healthcare Management Science


Computational Intelligence And Soft Computing Applications In Healthcare Management Science
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Computational Intelligence And Soft Computing Applications In Healthcare Management Science


Computational Intelligence And Soft Computing Applications In Healthcare Management Science
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Author : Gul, Muhammet
language : en
Publisher: IGI Global
Release Date : 2020-03-06

Computational Intelligence And Soft Computing Applications In Healthcare Management Science written by Gul, Muhammet and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-06 with Medical categories.


In today’s modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop. Computational Intelligence and Soft Computing Applications in Healthcare Management Science is an essential reference source that discusses the implementation of soft computing techniques and computational methods in the various components of healthcare, telemedicine, and public health. Featuring research on topics such as analytical modeling, neural networks, and fuzzy logic, this book is ideally designed for software engineers, information scientists, medical professionals, researchers, developers, educators, academicians, and students.



A Primer On Multiple Intelligences


A Primer On Multiple Intelligences
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Author : Matthew N. O. Sadiku
language : en
Publisher: Springer Nature
Release Date : 2021-07-24

A Primer On Multiple Intelligences written by Matthew N. O. Sadiku and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-24 with Psychology categories.


This book provides an introduction to nineteen popular multiple intelligences. Part One discusses general intelligence, psychological testing, naturalistic intelligence, social intelligence, emotional intelligence, interpersonal intelligence, and cultural intelligence. Part Two tackles machine intelligence, the development of artificial intelligence, computational intelligence, and digital intelligence, or the ability for humans to adapt to a digital environment. Finally, Part Three discusses the role of intelligence in business development, using technology to augment intelligence, abstract thinking, swarm and animal intelligence, military intelligence, and musical intelligence. A Primer on Multiple Intelligences is a must-read for graduate students or scholars considering researching cognition, perception, motivation, and artificial intelligence. It will also be of use to those in social psychology, computer science, and pedagogy. It is as a valuable resource for anyone interested in learning more about the multifaceted study of intelligence.



Multi Criteria Decision Analysis


Multi Criteria Decision Analysis
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Author : Muhammet Gul
language : en
Publisher: CRC Press
Release Date : 2022-12-16

Multi Criteria Decision Analysis written by Muhammet Gul and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-16 with Mathematics categories.


Multi-Criteria Decision-Making (MCDM) includes methods and tools for modeling and solving complex problems. MCDM has become popular in the production and service sectors to improve the quality of service, reduce costs, and make people more prosperous. This book illustrates applications through case studies focused on disaster management. With a presentation of both Multi-Attribute Decision-Making (MADM) and Multi-Objective Decision-Making (MODM) models, this is the first book to merge these methods and tools with disaster management. This book raises awareness for society and decision-makers on how to measure readiness and what necessary preventive measures need to be taken. It offers models and case studies that can be easily adapted to solve complex problems and find solutions in other fields. Multi-Criteria Decision Analysis: Case Studies in Disaster Management will offer new insights to researchers working in the areas of industrial engineering, systems engineering, healthcare systems, operations research, mathematics, business, computer science, and disaster management, and, hopefully, the book will also stimulate further work in MCDM.



Generative Ai And Implications For Ethics Security And Data Management


Generative Ai And Implications For Ethics Security And Data Management
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Author : Gomathi Sankar, Jeganathan
language : en
Publisher: IGI Global
Release Date : 2024-08-21

Generative Ai And Implications For Ethics Security And Data Management written by Gomathi Sankar, Jeganathan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-21 with Computers categories.


As generative AI rapidly advances with the field of artificial intelligence, its presence poses significant ethical, security, and data management challenges. While this technology encourages innovation across various industries, ethical concerns regarding the potential misuse of AI-generated content for misinformation or manipulation may arise. The risks of AI-generated deepfakes and cyberattacks demand more research into effective security tactics. The supervision of datasets required to train generative AI models raises questions about privacy, consent, and responsible data management. As generative AI evolves, further research into the complex issues regarding its potential is required to safeguard ethical values and security of people’s data. Generative AI and Implications for Ethics, Security, and Data Management explores the implications of generative AI across various industries who may use the tool for improved organizational development. The security and data management benefits of generative AI are outlined, while examining the topic within the lens of ethical and social impacts. This book covers topics such as cybersecurity, digital technology, and cloud storage, and is a useful resource for computer engineers, IT professionals, technicians, sociologists, healthcare workers, researchers, scientists, and academicians.



Artificial Intelligence In Medicine


Artificial Intelligence In Medicine
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Author : Martin Michalowski
language : en
Publisher: Springer Nature
Release Date : 2022-07-08

Artificial Intelligence In Medicine written by Martin Michalowski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-08 with Computers categories.


This book constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, held in Halifax, NS, Canada, in June 2022. The 39 full papers presented together with 7 short papers were selected from 113 submissions. The papers are grouped in topical sections on knowledge-based system; machine learning; medical image processing; predictive modeling; natural language processing.



Handbook Of Research On Applied Intelligence For Health And Clinical Informatics


Handbook Of Research On Applied Intelligence For Health And Clinical Informatics
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Author : Thakare, Anuradha Dheeraj
language : en
Publisher: IGI Global
Release Date : 2021-10-22

Handbook Of Research On Applied Intelligence For Health And Clinical Informatics written by Thakare, Anuradha Dheeraj and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Medical categories.


Currently, informatics within the field of public health is a developing and growing industry. Clinical informatics are used in direct patient care by supplying medical practitioners with information that can be used to develop a care plan. Intelligent applications in clinical informatics facilitates with the technology-based solutions to analyze data or medical images and help clinicians to retrieve that information. Decision models aid with making complex decisions especially in uncertain situations. The Handbook of Research on Applied Intelligence for Health and Clinical Informatics is a comprehensive reference book that focuses on the study of resources and methods for the management of healthcare infrastructure and information. This book provides insights on how applied intelligence with deep learning, experiential learning, and more will impact healthcare and clinical information processing. The content explores the representation, processing, and communication of clinical information in natural and engineered systems. This book covers a range of topics including applied intelligence, medical imaging, telehealth, and decision support systems, and also looks at technologies and tools used in the detection and diagnosis of medical conditions such as cancers, diabetes, heart disease, lung disease, and prenatal syndromes. It is an essential reference source for diagnosticians, medical professionals, imaging specialists, data specialists, IT consultants, medical technologists, academicians, researchers, industrial experts, scientists, and students.



Quality Of Healthcare In The Aftermath Of The Covid 19 Pandemic


Quality Of Healthcare In The Aftermath Of The Covid 19 Pandemic
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Author : Moumtzoglou, Anastasius
language : en
Publisher: IGI Global
Release Date : 2021-12-10

Quality Of Healthcare In The Aftermath Of The Covid 19 Pandemic written by Moumtzoglou, Anastasius and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-10 with Medical categories.


The COVID-19 pandemic has put massive stress on healthcare professionals’ formal training, their creed to do no harm, and the patient safety movement. COVID-19 affects all aspects of daily life and healthcare’s organizational culture and values. Healthcare institutions experience absenteeism, change in commerce patterns, and interrupted supply/delivery in this context. It has also revealed the extensive amounts of data needed for population health management, as well as the opportunities afforded by mainstreaming telehealth and virtual care capabilities, thus making the implementation of health IT essential in the post-pandemic era. Quality of Healthcare in the Aftermath of the COVID-19 Pandemic clarifies how healthcare professionals might provide their services differently than treating a patient through its vicinity with multiple providers. It examines the notion that healthcare education requires a pack of healthcare workers from varied educational backgrounds and training levels for the nuances of a disease. Covering topics such as blockchain technology, power density analysis, and supply chain, this book is a valuable resource for undergraduate and extended degree program students, graduate students of healthcare quality and health services management, healthcare managers, health professionals, researchers, professors, and academicians.



New Approaches To Data Analytics And Internet Of Things Through Digital Twin


New Approaches To Data Analytics And Internet Of Things Through Digital Twin
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Author : Periyaswami, Karthikeyan
language : en
Publisher: IGI Global
Release Date : 2022-09-30

New Approaches To Data Analytics And Internet Of Things Through Digital Twin written by Periyaswami, Karthikeyan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-30 with Computers categories.


Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.



Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms


Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms
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Author : Milutinović, Veljko
language : en
Publisher: IGI Global
Release Date : 2022-03-11

Implementation Of Machine Learning Algorithms Using Control Flow And Dataflow Paradigms written by Milutinović, Veljko and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Computers categories.


Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.



Developing Maternal Health Decision Support Systems In Developing Countries


Developing Maternal Health Decision Support Systems In Developing Countries
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Author : Mzazi, Vincent
language : en
Publisher: IGI Global
Release Date : 2021-03-19

Developing Maternal Health Decision Support Systems In Developing Countries written by Mzazi, Vincent and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-19 with Medical categories.


Implementation of guidelines in the health system is a major undertaking, especially in developing countries. An important constraint in guideline development in developing countries is that the guideline recommendations must suit local conditions and must make use of available resources. This is a challenge because the health systems of developing countries have a high burden of disease and little resources; therefore, guidelines must rely on cost-effective healthcare interventions. The BACIS program study was initiated to address some of these challenges in the dissemination and utilization of maternal health guidelines. The BACIS program was piloted, and the results showed that the BACIS program could assist in improving compliance of nurses with the national maternity care guidelines. This is an impressive finding and step forward for maternal healthcare in developing countries. Developing Maternal Health Decision Support Systems in Developing Countries discusses public health aspects of the design and implementation of clinical decision support systems in developing country contexts. Specifically, it focuses largely on the design and evaluation of the BACIS program in South Africa. This is supplemented with a conversation on the possible future research directions in the BACIS program study along with the outlook for clinical decision support systems in developing country contexts in general. This book is ideal for e-health system designers and implementers, managers and policymakers in the area of e-health in developing countries, personnel from NPOs and donor agencies, government officials, IT consultants, medical professionals, practitioners, stakeholders, researchers, academicians, and students who are interested in how decision support systems such as BACIS are being used to improve maternal health in developing countries.