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

Recent advancements in computational intelligent technologies for medical diagnosis, multidisciplinary research in healthcare, intelligent systems and learning in healthcare, automated data collection in hospitals, and evolutionary computation in medical domains are discussed.

Format: Hardback
Length: 268 pages
Publication date: 31 March 2023
Publisher: Taylor & Francis Ltd

The recent advancements in computational intelligent technologies have brought about significant developments in the field of medical diagnosis. Researchers from various disciplines, including data mining, medical imaging, pattern recognition, and more, have come together to explore innovative solutions to healthcare challenges.

One area of focus is the intelligent systems and their application in addressing the complexities of healthcare. This includes the representation and reasoning of clinical uncertainty, which is a critical aspect of decision-making in medical settings. By leveraging advanced algorithms and machine learning techniques, researchers aim to develop systems that can assist healthcare professionals in making accurate diagnoses and providing optimal treatment plans.

Another challenge that is being addressed is the problem of automated data collection in modern hospitals. While this technology has the potential to improve efficiency and reduce errors, it also raises concerns about privacy and security. To address these issues, researchers are exploring possible solutions, such as anonymization and encryption, to ensure that patient data is collected and used responsibly.

In addition to these challenges, there is a growing interest in the use of evolutionary computation in the medical domain. This approach involves the use of algorithms that mimic the natural processes of evolution to solve complex problems. By applying evolutionary computation to medical imaging, for example, researchers can identify patterns and abnormalities that may be difficult to detect using traditional methods.

Overall, the recent applications of new computational intelligent technologies in medical diagnosis have the potential to revolutionize the way healthcare is delivered. By leveraging multidisciplinary research and advanced technologies, researchers are working towards developing more accurate, efficient, and personalized healthcare solutions that can improve patient outcomes and quality of life.

Weight: 690g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032313771