Swarm Intelligence and Machine Learning: Applications in Healthcare - Hardcover

Hardcover

ISBN 10: 103214579X ISBN 13: 9781032145792

Verlag: CRC Press, 2022

Inhaltsangabe

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 explore swarm intelligence and machine learning algorithms seriously for real-time patient diagnosis.

Über diesen Titel

Über die Autorin bzw. den Autor

Shikha Agarwal, Dac-Nhuong Le

Details zur Ausgabe

• Verlag: CRC Press
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 103214579X
• ISBN 13: 9781032145792
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 228
• Herausgeber: Agarwal Shikha, Gupta Manish, Agrawal Jitendra, Le Dac-Nhuong, Kumar Gupta Kamlesh
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar