Machine Learning and Its Applications to Healthcare
Buch in deiner Nähe kaufen
Beschreibung
This book offers a comprehensive collection of 35 research contributions on the transformative role of soft computing techniques such as fuzzy logic, neural networks, genetic algorithms, and hybrid methodologies in solving complex problems in healthcare. By aligning its themes with Sustainable Development Goals (SDG 3: Good Health and Well-Being), the book offers a comprehensive analysis of how these technologies are being integrated into medical diagnosis, predictive modeling, disease classification, personalized medicine and healthcare management. Through an exploration of current trends, research advancements and practical implementations, the book demonstrates the immense potential of soft computing to improve healthcare outcomes. It features a wide array of applications, including diagnostic systems for diseases such as cancer, Alzheimer's and cardiovascular conditions, as well as personalized treatment recommendations, patient monitoring systems and medical image analysis. It is aimed at researchers, practitioners and healthcare professionals, seeking to explore and apply advanced computational techniques to the medical field, providing both theoretical insights and practical applications.
This book offers a comprehensive collection of 35 research contributions on the transformative role of soft computing techniques such as fuzzy logic, neural networks, genetic algorithms, and hybrid methodologies in solving complex problems in healthcare. By aligning its themes with Sustainable Development Goals (SDG 3: Good Health and Well-Being), the book offers a comprehensive analysis of how these technologies are being integrated into medical diagnosis, predictive modeling, disease classification, personalized medicine and healthcare management. Through an exploration of current trends, research advancements and practical implementations, the book demonstrates the immense potential of soft computing to improve healthcare outcomes. It features a wide array of applications, including diagnostic systems for diseases such as cancer, Alzheimer's and cardiovascular conditions, as well as personalized treatment recommendations, patient monitoring systems and medical image analysis. It is aimed at researchers, practitioners and healthcare professionals, seeking to explore and apply advanced computational techniques to the medical field, providing both theoretical insights and practical applications.
Explores soft computing methods like neural networks, genetic algorithms and ensemble learning in healthcare Aligns with SDG 3, it discusses health equity using AI: enable real-time care, early detection and precision diagnosis Discusses AI applications in disease diagnosis, predictive modeling, image segmentation and drug impact analysis
Autor*in
Millie Pant
Themen in »Machine Learning and Its Applications to Healthcare«
soft computing SDG (Good Health and Well-Being) deep learning machine learning accurate diagnostic clinical documentation ensemble model smart clinical surgery transfer learning breast cancer pulmonary disease spirometry data audio transcription noise processing sign language translation