Computational Intelligence and Data Sciences: Paradigms in Biomedical Engineering

This text discusses the use of intelligent techniques in biomedical engineering and health informatics, including IoT, cloud computing, data analytics, modeling and simulations, and computational intelligence-based solutions for disease detection. It provides concrete examples of relevant application work.

Format: Hardback
Length: 272 pages
Publication date: 11 March 2022
Publisher: Taylor & Francis Ltd

The field of biomedical engineering and health informatics is a rapidly evolving domain that encompasses a wide range of innovative and cutting-edge technologies. It focuses on the application of intelligent techniques to address various challenges and opportunities in the healthcare industry. One of the key areas of focus in biomedical engineering and health informatics is the Internet of Things (IoT). The IoT refers to the network of physical devices, such as sensors, medical implants, and wearable technology, that are connected to the internet and can collect and transmit data. This technology has the potential to revolutionize healthcare by enabling real-time monitoring, personalized treatment, and efficient management of healthcare resources.

Another important area of focus in biomedical engineering and health informatics is cloud computing. Cloud computing provides a scalable and cost-effective platform for storing, processing, and analyzing large amounts of healthcare data. It enables healthcare professionals to access and share data from anywhere in the world, which can improve patient care and research outcomes.

Data analytics is another critical component of biomedical engineering and health informatics. It involves the extraction, manipulation, and interpretation of data to gain insights into healthcare trends, patient behavior, and disease patterns. By analyzing data, healthcare professionals can make informed decisions and develop targeted interventions to improve patient outcomes.

Modeling and simulations are also essential tools in biomedical engineering and health informatics. They allow researchers to create virtual models of biological systems and test the effectiveness of various interventions and treatments. This can help reduce the risk of clinical trials and accelerate the development of new medical devices and therapies.

Computational intelligence (CI) is another emerging technology that has significant implications for biomedical engineering and health informatics. CI refers to the use of artificial intelligence and machine learning algorithms to solve complex problems. It has the potential to improve the accuracy of diagnosis, the development of personalized treatment plans, and the early detection of diseases.

In conclusion, biomedical engineering and health informatics is a dynamic and rapidly evolving field that is driven by the application of intelligent techniques. IoT, cloud computing, data analytics, modeling and simulations, and computational intelligence are just a few of the areas that are receiving significant attention in this field. By leveraging these technologies, healthcare professionals can improve patient care, reduce costs, and advance medical research. However, there are also challenges associated with these technologies, such as privacy and security concerns, and it is important to address these issues to ensure the safe and effective use of these technologies in healthcare.

Weight: 548g
Dimension: 155 x 235 x 24 (mm)
ISBN-13: 9781032123134