Swarm Intelligence And Evolutionary Algorithms In Healthcare And Drug Development

Swarm Intelligence And Evolutionary Algorithms In Healthcare And Drug Development Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Swarm Intelligence And Evolutionary Algorithms In Healthcare And Drug Development book. This book definitely worth reading, it is an incredibly well-written.

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Sandeep Kumar,Anand Nayyar,Anand Paul
Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development Book PDF

Author : Sandeep Kumar,Anand Nayyar,Anand Paul
Publisher : CRC Press
Page : 169 pages
File Size : 40,6 Mb
Release : 2019-11-11
Category : Medical
ISBN : 9781000726794

Get Book

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development by Sandeep Kumar,Anand Nayyar,Anand Paul Pdf

Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world. Key Features: Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry. Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection. In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis. Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery. The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Mark Chang
Artificial Intelligence for Drug Development Precision Medicine and Healthcare Book PDF

Author : Mark Chang
Publisher : CRC Press
Page : 372 pages
File Size : 44,5 Mb
Release : 2020-05-07
Category : Business & Economics
ISBN : 9781000766721

Get Book

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare by Mark Chang Pdf

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development

Sandeep Kumar,Anand Nayyar,Anand Paul
Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development Book PDF

Author : Sandeep Kumar,Anand Nayyar,Anand Paul
Publisher : CRC Press
Page : 121 pages
File Size : 40,6 Mb
Release : 2019-11-11
Category : Computers
ISBN : 9781000727036

Get Book

Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development by Sandeep Kumar,Anand Nayyar,Anand Paul Pdf

Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world. Key Features: Highlights the importance and applications of Swarm Intelligence and Evolutionary Algorithms in Healthcare industry. Elaborates Swarm Intelligence and Evolutionary Algorithms for Cancer Detection. In-depth coverage of computational methodologies, approaches and techniques based on Swarm Intelligence and Evolutionary Algorithms for detecting Brain Tumour including deep learning to optimize brain tumor diagnosis. Provides a strong foundation for Diabetic Retinopathy detection using Swarm and Evolutionary algorithms. Focuses on applying Swarm Intelligence and Evolutionary Algorithms for Heart Disease detection and diagnosis. Comprehensively covers the role of Swarm Intelligence and Evolutionary Algorithms for Drug Design and Discovery. The book will play a significant role for Researchers, Medical Practitioners, Healthcare Professionals and Industrial Healthcare Research and Development wings to conduct advanced research in Healthcare using Swarm Intelligence and Evolutionary Algorithms techniques.

Artificial Intelligence and Machine Learning in Drug Design and Development

Abhirup Khanna,May El Barachi,Sapna Jain,Manoj Kumar,Anand Nayyar
Artificial Intelligence and Machine Learning in Drug Design and Development Book PDF

Author : Abhirup Khanna,May El Barachi,Sapna Jain,Manoj Kumar,Anand Nayyar
Publisher : John Wiley & Sons
Page : 677 pages
File Size : 44,8 Mb
Release : 2024-07-18
Category : Computers
ISBN : 9781394234165

Get Book

Artificial Intelligence and Machine Learning in Drug Design and Development by Abhirup Khanna,May El Barachi,Sapna Jain,Manoj Kumar,Anand Nayyar Pdf

The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs. The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being. The editors of this volume have assembled a distinguished group of experts, researchers, and thought leaders from both the AI, ML, and pharmaceutical domains. Their collective knowledge and insights illuminate the multifaceted landscape of AI and ML in drug design and development, offering a roadmap for navigating its complexities and harnessing its potential. In each section, readers will find a rich tapestry of knowledge, case studies, and expert opinions, providing a 360-degree view of AI and ML’s role in drug design and development. Whether you are a researcher, scientist, industry professional, policymaker, or simply curious about the future of medicine, this book offers 19 state-of-the-art chapters providing valuable insights and a compass to navigate the exciting journey ahead. Audience The book is a valuable resource for a wide range of professionals in the pharmaceutical and allied industries including researchers, scientists, engineers, and laboratory workers in the field of drug discovery and development, who want to learn about the latest techniques in machine learning and AI, as well as information technology professionals who are interested in the application of machine learning and artificial intelligence in drug development.

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

Mark Chang
Artificial Intelligence for Drug Development Precision Medicine and Healthcare Book PDF

Author : Mark Chang
Publisher : CRC Press
Page : 235 pages
File Size : 44,8 Mb
Release : 2020-05-12
Category : Business & Economics
ISBN : 9781000767308

Get Book

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare by Mark Chang Pdf

Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Swarm Intelligence and Machine Learning

Shikha Agarwal,Manish Gupta,Jitendra Agrawal,Dac-Nhuong Le
Swarm Intelligence and Machine Learning Book PDF

Author : Shikha Agarwal,Manish Gupta,Jitendra Agrawal,Dac-Nhuong Le
Publisher : CRC Press
Page : 228 pages
File Size : 49,5 Mb
Release : 2022-09-29
Category : Computers
ISBN : 9781000737615

Get Book

Swarm Intelligence and Machine Learning by Shikha Agarwal,Manish Gupta,Jitendra Agrawal,Dac-Nhuong Le Pdf

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place. The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.

Evolutionary Intelligence for Healthcare Applications

T. Ananth Kumar,R. Rajmohan,M. Pavithra,S. Balamurugan
Evolutionary Intelligence for Healthcare Applications Book PDF

Author : T. Ananth Kumar,R. Rajmohan,M. Pavithra,S. Balamurugan
Publisher : CRC Press
Page : 136 pages
File Size : 40,7 Mb
Release : 2022-11-23
Category : Computers
ISBN : 9781000834130

Get Book

Evolutionary Intelligence for Healthcare Applications by T. Ananth Kumar,R. Rajmohan,M. Pavithra,S. Balamurugan Pdf

This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis. Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights various evolutionary algorithm techniques used for early disease diagnosis, prediction, and prognosis for medical conditions. The book also presents ethical issues and challenges that can occur within the healthcare system. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

Connected e-Health

Sushruta Mishra,Alfonso González-Briones,Akash Kumar Bhoi,Pradeep Kumar Mallick,Juan M. Corchado
Connected e Health Book PDF

Author : Sushruta Mishra,Alfonso González-Briones,Akash Kumar Bhoi,Pradeep Kumar Mallick,Juan M. Corchado
Publisher : Springer Nature
Page : 487 pages
File Size : 51,9 Mb
Release : 2022-05-05
Category : Technology & Engineering
ISBN : 9783030979294

Get Book

Connected e-Health by Sushruta Mishra,Alfonso González-Briones,Akash Kumar Bhoi,Pradeep Kumar Mallick,Juan M. Corchado Pdf

With rise of smart medical sensors, cloud computing and the health care technologies, “connected health” is getting remarkable consideration everywhere. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality. Cloud computing fits well in this scenario as it can provide high quality of clinical experience. Thus an IoT-cloud convergence can play a vital role in healthcare by offering better insight of heterogeneous healthcare content supporting quality care. It can also support powerful processing and storage facilities of huge data to provide automated decision making. This book aims to report quality research on recent advances towards IoT-Cloud convergence for smart healthcare, more specifically to the state-of-the-art approaches, design, development and innovative use of those convergence methods for providing insights into healthcare service demands. Students, researchers, and medical experts in the field of information technology, medicine, cloud computing, soft computing technologies, IoT and the related fields can benefit from this handbook in handling real-time challenges in healthcare. Current books are limited to focus either on soft computing algorithms or smart healthcare. Integration of smart and cloud computing models in healthcare resulting in connected health is explored in detail in this book.

Evolutionary and Swarm Intelligence Algorithms

Jagdish Chand Bansal,Pramod Kumar Singh,Nikhil R. Pal
Evolutionary and Swarm Intelligence Algorithms Book PDF

Author : Jagdish Chand Bansal,Pramod Kumar Singh,Nikhil R. Pal
Publisher : Springer
Page : 190 pages
File Size : 52,6 Mb
Release : 2018-06-06
Category : Technology & Engineering
ISBN : 9783319913414

Get Book

Evolutionary and Swarm Intelligence Algorithms by Jagdish Chand Bansal,Pramod Kumar Singh,Nikhil R. Pal Pdf

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering

Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit
Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering Book PDF

Author : Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit
Publisher : IGI Global
Page : 420 pages
File Size : 46,9 Mb
Release : 2020-02-28
Category : Medical
ISBN : 9781799821229

Get Book

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering by Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit Pdf

Artificial intelligence (AI) is revolutionizing every aspect of human life including human healthcare and wellbeing management. Various types of intelligent healthcare engineering applications have been created that help to address patient healthcare and outcomes such as identifying diseases and gathering patient information. Advancements in AI applications in healthcare continue to be sought to aid rapid disease detection, health monitoring, and prescription drug tracking. TheHandbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering is an essential scholarly publication that provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. Featuring a wide range of topics such as genetic algorithms, mobile robotics, and neuroinformatics, this book is ideal for engineers, technology developers, IT consultants, hospital administrators, academicians, healthcare professionals, practitioners, researchers, and students.

Proceedings of Third International Conference on Sustainable Computing

Ramesh Chandra Poonia,Vijander Singh,Dharm Singh Jat,Mario José Diván,Mohammed S. Khan
Proceedings of Third International Conference on Sustainable Computing Book PDF

Author : Ramesh Chandra Poonia,Vijander Singh,Dharm Singh Jat,Mario José Diván,Mohammed S. Khan
Publisher : Springer Nature
Page : 588 pages
File Size : 44,5 Mb
Release : 2022-01-04
Category : Technology & Engineering
ISBN : 9789811645389

Get Book

Proceedings of Third International Conference on Sustainable Computing by Ramesh Chandra Poonia,Vijander Singh,Dharm Singh Jat,Mario José Diván,Mohammed S. Khan Pdf

The book includes a selection of the best papers presented at the Third International Conference on Sustainable Computing (SUSCOM 2021), held in Jaipur, India, during 19 – 20 March 2021. It covers topics like Internet of things (IoT); artificial system of security; smart storage and knowledge retrieval using data cloud; intelligent transport management; intelligent cognitive and bio-inspired computing and management science. The book is useful for peoples from academia, government bodies, healthcare and industry to discuss their future scope.

Fog Computing for Healthcare 4.0 Environments

Sudeep Tanwar
Fog Computing for Healthcare 4 0 Environments Book PDF

Author : Sudeep Tanwar
Publisher : Springer Nature
Page : 621 pages
File Size : 44,7 Mb
Release : 2020-08-02
Category : Technology & Engineering
ISBN : 9783030461973

Get Book

Fog Computing for Healthcare 4.0 Environments by Sudeep Tanwar Pdf

This book provides an analysis of the role of fog computing, cloud computing, and Internet of Things in providing uninterrupted context-aware services as they relate to Healthcare 4.0. The book considers a three-layer patient-driven healthcare architecture for real-time data collection, processing, and transmission. It gives insight to the readers for the applicability of fog devices and gateways in Healthcare 4.0 environments for current and future applications. It also considers aspects required to manage the complexity of fog computing for Healthcare 4.0 and also develops a comprehensive taxonomy.

Machine Learning in Signal Processing

Sudeep Tanwar,Anand Nayyar,Rudra Rameshwar
Machine Learning in Signal Processing Book PDF

Author : Sudeep Tanwar,Anand Nayyar,Rudra Rameshwar
Publisher : CRC Press
Page : 388 pages
File Size : 53,5 Mb
Release : 2021-12-10
Category : Technology & Engineering
ISBN : 9781000487794

Get Book

Machine Learning in Signal Processing by Sudeep Tanwar,Anand Nayyar,Rudra Rameshwar Pdf

Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.

Emerging Research on Swarm Intelligence and Algorithm Optimization

Shi, Yuhui
Emerging Research on Swarm Intelligence and Algorithm Optimization Book PDF

Author : Shi, Yuhui
Publisher : IGI Global
Page : 369 pages
File Size : 44,9 Mb
Release : 2014-07-31
Category : Computers
ISBN : 9781466663299

Get Book

Emerging Research on Swarm Intelligence and Algorithm Optimization by Shi, Yuhui Pdf

Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence. Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Swarm Intelligence and Machine Learning

Shikha Agarwal,Manish Gupta,Jitendra Agrawal,Dac-Nhuong Le
Swarm Intelligence and Machine Learning Book PDF

Author : Shikha Agarwal,Manish Gupta,Jitendra Agrawal,Dac-Nhuong Le
Publisher : CRC Press
Page : 0 pages
File Size : 40,5 Mb
Release : 2022
Category : Computers
ISBN : 1000737667

Get Book

Swarm Intelligence and Machine Learning by Shikha Agarwal,Manish Gupta,Jitendra Agrawal,Dac-Nhuong Le Pdf

Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place. The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.