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Human reliability and error in transportation systems
Each year billions of dollars are being spent to develop, manufacture, and operate transportation systems such as aircraft, ships, trains, and motor vehicles throughout the world. During their operation thousands of lives are lost annually due to various types accidents. Needless to say, approximately 70 to 90 percent of transportation crashes are the result of human error to a certain degree. Moreover, it may be added that human errors contribute significantly to most transportation crashes across all modes of transportation. Human Reliability and Error in Transportation Systems is the first book to cover the subject of human reliability across all types of transportation systems. The material will be accessible to readers with no previous knowledge in the field, and is supported with a full explanation of the necessary mathematical concepts together with numerous examples and test problems.
Machine learning in healthcare : Fundamentals and recent applications
Discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises.
