6th Annual Judith Ramaley Celebration of Research and Creative Scholarship
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Poster #59 Lung Cancer Survival Predication with Symptom Cluster of Fatigue, Dyspnea, and Cough
Yichen Jiang
Faculty Mentors: Mingrui Zhang and Gerald W. Cichanowski
Statistical models are built to show that the use of the self-reported quality of life symptoms fatigue, dyspnea and cough within the 1st year of diagnosis can improve the predication accuracy of patient’s survival. The data collected by Mayo clinic has 2405 lung cancer patients who enrolled in an eight-year prospective longitudinal study. Analyzing those data, I developed a statistical model and implemented it using the Survival Probability Prediction Architecture. The implemented software allows the physicals and patients to input self-reported quality of life symptoms web-based interface. It predicts lung cancer patient’s survival. |
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