Smart Computational Intelligence in Biomedical and Health Informatics

This text discusses the use of evolutionary approaches, IoT, Cloud computing, data analytics, computational intelligence, and machine learning in biomedical engineering to solve optimization problems, diagnose diseases, design biomedical equipment, and improve outcomes.

\n Format: Hardback
\n Length: 184 pages
\n Publication date: 28 September 2021
\n Publisher: Taylor & Francis Ltd
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The field of biomedical engineering is constantly evolving, and researchers are exploring innovative approaches to solve complex optimization problems that arise in healthcare. One of the key areas of focus is the integration of Internet of Things (IoT), cloud computing, and data analytics in healthcare informatics. These technologies have the potential to revolutionize the way healthcare data is collected, stored, and analyzed, leading to better patient outcomes and more efficient healthcare systems.

In addition to these technological advancements, computational intelligence-based solutions are being developed to aid in the diagnosis of diseases. By leveraging advanced algorithms and machine learning techniques, researchers can analyze large amounts of medical data and identify patterns that may indicate the presence of a disease. This can help healthcare professionals make more accurate diagnoses and develop more effective treatment plans.

Modelling and simulations are also playing an increasingly important role in the design of biomedical equipment. By creating virtual models of human organs and tissues, researchers can test the efficacy and safety of new devices before they are introduced to the market. This can help reduce the risk of medical errors and improve patient outcomes.

Furthermore, machine learning-based approaches are being promoted as a way to improve the efficiency and accuracy of biomedical engineering problems. By training machine learning algorithms on large datasets, researchers can develop models that can predict the behavior of biological systems and make informed decisions based on that data. This can lead to the development of new therapies, devices, and treatments that are more effective and cost-efficient.

Overall, the field of biomedical engineering is rapidly advancing, and researchers are using a wide range of technologies and techniques to solve complex optimization problems and improve healthcare outcomes. While there are still challenges to be addressed, such as data privacy and security, the potential benefits of these advancements are immense, and they have the potential to transform the way we approach healthcare in the future.

\n Weight: 452g\n
Dimension: 242 x 158 x 19 (mm)\n
ISBN-13: 9780367624125\n \n