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Faculty Advisors
Wu, Yuping
Description
9,880 patients were asked to complete the DASI questionnaire along with other questions to assess the predictability of heart failure risk. In this paper we attempt to reduce the amount of questions asked by hierarchical clustering of the question responses to determine if there is a change in the predictability of heart failure risk in patients. The data was modeled using Cox hazards multiple regression and validated through ROC and AUC. Our validation models show there is no difference between the usage of 12 and 6 DASI questions, therefore improving the simplicity of the questionnaire. Abbreviations: DASI, Duke Activity Status Index.
Publication Date
2015
College
College of Sciences and Health Professions
Disciplines
Life Sciences | Medicine and Health Sciences | Physical Sciences and Mathematics
Recommended Citation
Negron, Christian, "Statistical Analysis of DASI Questionnaire and Modeling the Prediction of Heart Failure Risk in Patients" (2015). Undergraduate Research Posters 2015. 28.
https://engagedscholarship.csuohio.edu/u_poster_2015/28
Student Publication
This item is part of the McNair Scholars Program.
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Life Sciences Commons, Medicine and Health Sciences Commons, Physical Sciences and Mathematics Commons
