APA (7th ed.) Citation

Tucker, C., Han, Y., Black Nembhard, H., Lee, W., Lewis, M., Sterling, N., & Huang, X. (2015). A data mining methodology for predicting early stage Parkinson's disease using non-invasive, high-dimensional gait sensor data. IIE transactions on healthcare systems engineering, 5(4), 238-254. https://doi.org/10.1080/19488300.2015.1095256

Chicago Style (17th ed.) Citation

Tucker, Conrad, Yixiang Han, Harriet Black Nembhard, Wang-Chien Lee, Mechelle Lewis, Nicholas Sterling, and Xuemei Huang. "A Data Mining Methodology for Predicting Early Stage Parkinson's Disease Using Non-invasive, High-dimensional Gait Sensor Data." IIE Transactions on Healthcare Systems Engineering 5, no. 4 (2015): 238-254. https://doi.org/10.1080/19488300.2015.1095256.

MLA (9th ed.) Citation

Tucker, Conrad, et al. "A Data Mining Methodology for Predicting Early Stage Parkinson's Disease Using Non-invasive, High-dimensional Gait Sensor Data." IIE Transactions on Healthcare Systems Engineering, vol. 5, no. 4, 2015, pp. 238-254, https://doi.org/10.1080/19488300.2015.1095256.