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Full-Text Articles in Physical Sciences and Mathematics
Inferential Procedures For Dominance Analysis Measures In Multiple Regression, Shuwen Tang
Inferential Procedures For Dominance Analysis Measures In Multiple Regression, Shuwen Tang
Theses and Dissertations
In order to better interpret a selected multiple regression model, researchers are often interested in whether a predictor is significantly more important than another or not. This study investigates the performance of the Normal-Theory based (asymptotic) confidence interval and bootstrap confidence intervals for predictors' dominance relationships using both normal and non-normal data. The results show that asymptotic confidence interval method is adequate to make inferences for comparing two general dominance measures when the distribution is multivariate normal or slightly non-normal and when the effect size is no less than 0.15 and the sample size is at least 100. However, the …
Text Mining Of Patient Demographics And Diagnoses From Psychiatric Assessments, Eric James Klosterman
Text Mining Of Patient Demographics And Diagnoses From Psychiatric Assessments, Eric James Klosterman
Theses and Dissertations
Automatic extraction of patient demographics and psychiatric diagnoses from clinical notes allows for the collection of patient data on a large scale. This data could be used for a variety of research purposes including outcomes studies or developing clinical trials. However, current research has not yet discussed the automatic extraction of demographics and psychiatric diagnoses in detail. The aim of this study is to apply text mining to extract patient demographics - age, gender, marital status, education level, and admission diagnoses from the psychiatric assessments at a mental health hospital and also assign codes to each category. Gender is coded …