SWARM INTELLIGENCE AND MACHINE LEARNING applications in healthcare.
SWARM INTELLIGENCE AND MACHINE LEARNING applications in healthcare. [electronic resource] :
- [S.l.] : CRC PRESS, 2022.
- 1 online resource
Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place. The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and exploreswarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.
9781000737615 1000737616 9781003240037 1003240038 9781000737660 1000737667
10.1201/9781003240037 doi
Artificial intelligence--Medical applications.
Swarm intelligence.
Machine learning.
R859.7.A78
610.285
Today the healthcare sector is facing challenges such as detecting the cause of ailments, disease prevention, high operating costs, availability of skilled technicians and infrastructure bottlenecks. Intelligent healthcare management technologies are needed to manage these challenges. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data being generated for saving lives, reducing medical errors, enhancing efficiency, reducing costs and making the whole world a healthy place. The book introduces techniques that developed using machine learning along with swarm intelligence in healthcare informatics. It also discusses one of the major applications of artificial intelligence: using machine learning to extract useful information from multimodal data optimally by using swarm intelligence. It reviews optimization methods that help to minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The objective of this book is to use swarm intelligence and machine learning techniques for various medical issues such as diagnosing cancer, brain tumor, diabetic retinopathy, heart diseases as well as drug design and development. The book will act as one-stop reference to think and exploreswarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.
9781000737615 1000737616 9781003240037 1003240038 9781000737660 1000737667
10.1201/9781003240037 doi
Artificial intelligence--Medical applications.
Swarm intelligence.
Machine learning.
R859.7.A78
610.285
