Integrative Machine Learning And Optimization Algorithms For Disease Prediction
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Integrative Machine Learning And Optimization Algorithms For Disease Prediction
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Author : Muniasamy, Anandhavalli
language : en
Publisher: IGI Global
Release Date : 2025-07-03
Integrative Machine Learning And Optimization Algorithms For Disease Prediction written by Muniasamy, Anandhavalli and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Medical categories.
Integrative approaches that combine machine learning (ML) and optimization algorithms rapidly transform the landscape of disease prediction and healthcare analytics. By leveraging the predictive power of ML models alongside the efficiency of optimization techniques, researchers can develop more accurate, robust, and scalable systems for early diagnosis and risk assessment. These hybrid frameworks enable the integration of diverse data sources into cohesive predictive models. The synergy between ML and optimization enhances model performance while supporting personalized medicine by tailoring predictions to individual patient profiles. Integrative methodologies hold significant promises for advancing clinical decision-making and improving health outcomes. Integrative Machine Learning and Optimization Algorithms for Disease Prediction explores the cutting-edge applications of machine learning, deep learning, and optimization algorithms in disease prediction. It examines how diverse machine learning models, from traditional algorithms to deep learning and ensemble methods, can be optimized for high-stakes clinical predictions. This book covers topics such as disease prediction, healthcare data, and mental health, and is a useful resource for computer engineers, medical professionals, academicians, researchers, and scientists.
Integrative Machine Learning And Optimization Algorithms For Disease
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Author :
language : en
Publisher:
Release Date : 2025
Integrative Machine Learning And Optimization Algorithms For Disease written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Ai Model Design And Data Management For Disease Prediction
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Author : Muniasamy, Anandhavalli
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Ai Model Design And Data Management For Disease Prediction written by Muniasamy, Anandhavalli and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Medical categories.
The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection, integration, and storage of high-quality clinical and biomedical datasets. Ensuring data privacy and addressing biases are challenges that must be navigated to develop reliable and ethical AI systems. Thoughtful model design and effective data management strategies may ensure earlier detection, personalized treatment, and better resource allocation in modern healthcare systems. AI Model Design and Data Management for Disease Prediction explores the integration of intelligent technologies into medical prediction and diagnosis. It examines the usage of AI for enhanced healthcare data management. This book covers topics such as data science, medical imaging, and prediction models, and is a useful resource for computer engineers, medical professionals, academicians, researchers, and data scientists.
Future Of Ai In Biomedicine And Biotechnology
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Author : Khade, Shankar Mukundrao
language : en
Publisher: IGI Global
Release Date : 2024-05-30
Future Of Ai In Biomedicine And Biotechnology written by Khade, Shankar Mukundrao and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Technology & Engineering categories.
The healthcare industry is grappling with numerous challenges, including rising costs, inefficiencies in service delivery, and the need for personalized treatment approaches. Traditional healthcare management and delivery methods must be improved in addressing these issues, leading to a growing demand for innovative solutions. Additionally, the exponential growth of medical data and the complexity of biomedical research and biotechnology presents a daunting challenge in harnessing this data effectively for improved patient care and medical advancements. There is a pressing need for a comprehensive understanding of how artificial intelligence (AI) can be leveraged to tackle these challenges and drive meaningful change in the healthcare sector. Future of AI in Biomedicine and Biotechnology offers a timely and insightful solution to the challenges faced by the healthcare industry. This book is not just a theoretical exploration; it is a practical roadmap for healthcare professionals, researchers, policymakers, and entrepreneurs seeking to navigate the complexities of AI in healthcare. By exploring the intersection of AI with biomedical sciences and biotechnology, this book provides a comprehensive guide to harnessing the power of AI for transformative healthcare innovation.
Advances In Artificial Intelligence And Machine Learning
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Author : Gaurav Raj
language : en
Publisher: Springer Nature
Release Date : 2025-03-16
Advances In Artificial Intelligence And Machine Learning written by Gaurav Raj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-16 with Computers categories.
This book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning—ICAAAIML 2023. The book covers research in the areas of artificial intelligence, machine learning, and deep learning applications in health care, agriculture, business, and security. This book contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book is a valuable resource for students, academics, and practitioners in the industry working on AI applications.
Proceedings Of The 13th International Conference On Soft Computing And Pattern Recognition Socpar 2021
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Author : Ajith Abraham
language : en
Publisher: Springer Nature
Release Date : 2022-02-21
Proceedings Of The 13th International Conference On Soft Computing And Pattern Recognition Socpar 2021 written by Ajith Abraham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-21 with Technology & Engineering categories.
This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) and 11 papers from the 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021), which was held online, from December 15 to 17, 2021. A premier conference in the field of soft computing, artificial intelligence and machine learning applications, SoCPaR-NaBIC 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.
Computational Intelligence In Machine Learning
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Author : Vinit Kumar Gunjan
language : en
Publisher: Springer Nature
Release Date : 2025-08-02
Computational Intelligence In Machine Learning written by Vinit Kumar Gunjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.
This book features selected proceedings from the International Conference on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various fields, including machine learning, smart cities, the Internet of Things (IoT), artificial intelligence, cyber-physical systems, cybernetics, data science, neural networks, and cognition, among others. The book also emphasizes the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, optimization, prediction, forecasting, and controlling future intelligent systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application perspectives, enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.
Optimizing Patient Outcomes Through Multi Source Data Analysis In Healthcare
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Author : John Joseph, Ferdin Joe
language : en
Publisher: IGI Global
Release Date : 2025-05-28
Optimizing Patient Outcomes Through Multi Source Data Analysis In Healthcare written by John Joseph, Ferdin Joe 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 Computers categories.
The landscape of healthcare is transformed by the integration of advanced data analytics, especially in the realm of multi-source data analysis. By combining diverse datasets, such as electronic health records (EHRs), genetic information, wearable device data, and patient-reported outcomes, healthcare providers can gain a comprehensive understanding of a patient's health status. This approach creates more personalized treatment plans, enhances diagnostic accuracy, and supports early detection of potential health issues. Communication between various data sources allows for the identification of hidden trends and patterns, improving predictive capabilities and optimizing patient outcomes. As healthcare systems adopt this data-driven process, it is crucial to address challenges related to data privacy, integration, and the interpretation of complex datasets, ensuring the potential benefits of multi-source data analysis are realized in ethical and effective ways. Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare explores the transformative potential of big data and AI in healthcare, focusing on informed decision-making. It delves into the integration of vast, diverse datasets, analyzed through AI algorithms to enhance patient outcomes and operational efficiency. This book covers topics such as automation, machine learning, and neural networks, and is a useful resource for healthcare professionals, computer engineers, business owners, academicians, researchers, and data scientists.
Proceedings Of The International Conference On Advances And Applications In Artificial Intelligence Icaaai 2025
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Author : Suman Kumar Swarnkar
language : en
Publisher: Springer Nature
Release Date : 2025-07-23
Proceedings Of The International Conference On Advances And Applications In Artificial Intelligence Icaaai 2025 written by Suman Kumar Swarnkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.
This open access volume presents select proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025). It covers AI fundamentals, machine learning, deep learning, NLP, computer vision, robotics, and ethical AI. Key application areas include healthcare, industry automation, smart cities, agriculture, education, cybersecurity, and business.
Proceedings Of Fourth International Conference On Computing And Communication Networks
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Author : Akshi Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-06-09
Proceedings Of Fourth International Conference On Computing And Communication Networks written by Akshi Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Technology & Engineering categories.
This book includes selected peer-reviewed papers presented at fourth International Conference on Computing and Communication Networks (ICCCN 2024), held at Manchester Metropolitan University, UK, during 17–18 October 2024. The book covers topics of network and computing technologies, artificial intelligence and machine learning, security and privacy, communication systems, cyber physical systems, data analytics, cyber security for industry 4.0, and smart and sustainable environmental systems.