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Qi, H. and Li, S.X. (2014) Dose-Response Meta-Analysis on Coffee, Tea and Caffeine Consumption with Risk of Parkinson’s Disease. Geriatrics & Gerontology International, 14, 430-439.
https://doi.org/10.1111/ggi.12123

has been cited by the following article:

• TITLE: A Preliminary Study on Parkinson’s Disease with Regularized Logistic Regression Method

  AUTHORS: Jophy Lin

  KEYWORDS: Mental Depression, Parkinson’s Disease, Regularized Logistic Regression, Gradient Descent

  JOURNAL NAME: Open Journal of Social Sciences, Vol.7 No.11, November 20, 2019

  ABSTRACT: Parkinson’s disease is a long-term degenerative disorder of the central nervous system. In this paper, we have used gradient descent method with regularized logistic regression to give suggestions on the possible reason for the rise of this disease. Results with different regularization are presented and compared. We hope this could open a new way for studying complex diseases using data methods.