Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intelligence—specifically machine learning, robotics, and analytics—to drive innovation and improvements in healthcare delivery and outcomes. This book provides a comprehensive overview of the latest advances in decision intelligence technologies and provides a practical resource that can help navigate the complex landscape of healthcare decision-making. The book, “Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics,” focuses on five topics: the use of data management and analytics techniques in healthcare to improve decision-making and healthcare outcomes; the use of robotics, bots, and genomics to improve biomedical informatics; the use of genomics, clinical decision support systems (CDSS), machine learning, and deep learning to improve precision medicine and personalized treatment; and the ethical implications of using artificial intelligence (AI) in healthcare, ensuring trust in the technology, and ensuring that it can be explained and understood by all stakeholders. This book is a valuable resource for healthcare professionals, scientists and researchers, health practitioners, students, and anyone who wishes to expand their knowledge in related fields.
Key Features
Provides up-to-date knowledge on decision intelligence technologies, such as machine learning, robotics, and data analytics, and their applications in healthcare
Provides a wide range of case studies, practical examples, and theoretical concepts that demonstrate how decision intelligence can be applied in areas such as diagnosis, treatment planning, and resource allocation
Enables readers to make informed decisions that can improve the quality of care and outcomes for patients, while also increasing the efficiency and effectiveness of healthcare systems.
