Computational Intelligence in Medical Decision Making and Diagnosis: Techniques and Applications (Computational Intelligence Techniques)

Computational Intelligence in Medical Decision Making and Diagnosis: Techniques and Applications (Computational Intelligence Techniques)

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Computational Intelligence in Medical Decision Making and Diagnosis: Techniques and Applications (Computational Intelligence Techniques)

By Sitendra Tamrakar, Shruti Bhargava Choubey, Abhishek Choubey

By Sitendra Tamrakar, Shruti Bhargava Choubey, Abhishek Choubey

Computation intelligence (CI) paradigms, including artificial neural networks, fuzzy systems, evolutionary computing techniques, and intelligent agents, form the basis of making clinical decisions. This book explains different aspects of the current research on CI technologies applied in the field of medical diagnosis. It discusses critical issues related to medical diagnosis, like uncertainties in the medical domain, problems in the medical data, especially dealing with time-stamped data, and knowledge acquisition.

Medical diagnosis is a complex task that requires accurate and timely decision-making. With advancements in technology, computational intelligence (CI) has emerged as a powerful tool in the field of medical diagnosis. This book, titled “Computational Intelligence in Medical Diagnosis: Current Research and Challenges,” explores the application of CI technologies in the healthcare industry, focusing on the diagnosis of various medical conditions.

The book starts by introducing the concept of CI and its various paradigms, including artificial neural networks, fuzzy systems, evolutionary computing techniques, and intelligent agents. It explains how these technologies can be harnessed to make informed clinical decisions. The authors delve into the critical issues and challenges in medical diagnosis, such as uncertainties in the medical domain, problems with medical data, especially time-stamped data, and the acquisition of knowledge.

One of the key features of this book is its focus on recent applications of CI technologies in medical diagnosis. The authors discuss real-world examples and case studies where CI techniques have been successfully applied to diagnose various medical conditions. These examples highlight the potential of CI in improving medical decision-making and patient outcomes.

The book also reviews multidisciplinary research in healthcare, including data mining, medical imaging, and pattern recognition, among others. It explores how these research areas intersect with CI and contribute to the field of medical diagnosis. The authors highlight the importance of collaboration and knowledge integration across different disciplines to develop effective diagnostic systems.

Another important aspect covered in the book is intelligent systems and their applications in learning healthcare challenges. The authors discuss the representation and reasoning of clinical uncertainty, which is crucial in medical diagnosis. They present various approaches and algorithms for handling uncertainties and making reliable diagnoses.

One of the major challenges in medical diagnosis is the automated collection of data in modern hospitals. The book addresses this issue and proposes possible solutions to support medical decision-making systems. It emphasizes the importance of data quality, integration, and interoperability for effective diagnosis.

The book also delves into the field of evolutionary computation and its applications in the medical domain. The authors discuss current and emerging intelligent systems that utilize evolutionary computation techniques for medical diagnosis. They highlight the advantages of evolutionary computation in handling complex and dynamic medical data.

Overall, “Computational Intelligence in Medical Diagnosis: Current Research and Challenges” offers a comprehensive overview of the application of CI technologies in medical diagnosis. It provides insights into the critical issues and challenges in the field and presents innovative solutions and approaches. The book is a valuable resource for researchers, professionals, and graduate students in computational intelligence, signal processing, imaging, artificial intelligence, and data analytics.

Order your copy of “Computational Intelligence in Medical Diagnosis: Current Research and Challenges” today and explore the fascinating world of CI technologies in healthcare.

Product Details

  • Publisher: CRC Press; 1st edition (March 31, 2023)
  • Language: English
  • eBook Digital: 268 pages
  • ISBN-10: 1032313773
  • ISBN-13: 978-1032313771

Product Details

  • Introduces recent applications of new computational intelligence technologies focusing on medical diagnosis issues.
  • Reviews multidisciplinary research in health care, like data mining, medical imaging, pattern recognition, and so forth.
  • Explores intelligent systems and applications of learning in health-care challenges, along with the representation and reasoning of clinical uncertainty.
  • Addresses problems resulting from automated data collection in modern hospitals, with possible solutions to support medical decision-making systems.
  • Discusses current and emerging intelligent systems with respect to evolutionary computation and its applications in the medical domain.
  • Publisher ‏ : ‎ CRC Press; 1st edition (March 31, 2023)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 268 pages
  • ISBN-10 ‏ : ‎ 1032313773
  • ISBN-13 ‏ : ‎ 978-1032313771

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