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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Predicting General Aviation Pilots’ Weather-Related Performance Through A Scenario-Based Assessment, Jessica Cruit, Christina Frederick, Beth Blickensderfer, Joseph Keebler, Thomas Guinn
Predicting General Aviation Pilots’ Weather-Related Performance Through A Scenario-Based Assessment, Jessica Cruit, Christina Frederick, Beth Blickensderfer, Joseph Keebler, Thomas Guinn
Publications
Weather-related accidents continue to challenge the general aviation (GA) community and with the development of advanced weather technology, GA pilots need additional education and training on how to effectively use these weather products to ensure flight safety. Currently, the literature on aviation weather suggests that there is a gap in both training and assessment strategy for GA pilots. Furthermore, several studies advocate assessing GA pilots at a deeper level of learning by including weather-based, scenario/application questions on the Federal Aviation Administration’s (FAA) written exam for private pilots. After first developing a scenario-based, aviation weather assessment, we used a multiple regression …
The Effect Of Imputing Missing Clinical Attribute Values On Training Lung Cancer Survival Prediction Model Performance, Mohamed S. Barakat, Matthew Field, Aditya K. Ghose, David Stirling, Lois C. Holloway, Shalini K. Vinod, Andre Dekker, David Thwaites
The Effect Of Imputing Missing Clinical Attribute Values On Training Lung Cancer Survival Prediction Model Performance, Mohamed S. Barakat, Matthew Field, Aditya K. Ghose, David Stirling, Lois C. Holloway, Shalini K. Vinod, Andre Dekker, David Thwaites
Faculty of Engineering and Information Sciences - Papers: Part B
According to the estimations of the World Health Organization and the International Agency for Research in Cancer, lung cancer is the most common cause of death from cancer worldwide. The last few years have witnessed a rise in the attention given to the use of clinical decision support systems in medicine generally and in cancer in particular. These can predict patients' likelihood of survival based on analysis of and learning from previously treated patients. The datasets that are mined for developing clinical decision support functionality are often incomplete, which adversely impacts the quality of the models developed and the decision …