Abstract #0252

Machine Learning Based Diagnosis of Early Parkinson's Disease using QSM

Seon Lee¹, Joon Yul Choi², Jeehun Kim², Sun Won Park³, and Jongho Lee²

¹Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea, Republic of, ²Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, ³Department of Radiology, Seoul National University Boramae Medical Center, Seoul, Korea, Republic of

This study proposed a support vector machine model to classify early PD patients from healthy controls using QSM. The results validated better performance of SVM than conventional logistic regression based on statistical ordering of backward feature selection. This computer aided technique may help to reduce misdiagnosis rate of early-PD patients.

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