Research Paper Volume 13, Issue 4 pp 5238—5249

A simple-to-use web-based calculator for survival prediction in Parkinson’s disease

Establishment of a model with clinical indices to predict Parkinson’s disease survival. (A) A clinical feature model was used to develop a nomogram. (B) Distribution of the risk scores in the low- and high-risk groups. (C) Kaplan–Meier survival analysis between low- and high-risk groups. (D) Patient distribution in the low- and high-risk groups based on survival status.

Figure 2. Establishment of a model with clinical indices to predict Parkinson’s disease survival. (A) A clinical feature model was used to develop a nomogram. (B) Distribution of the risk scores in the low- and high-risk groups. (C) Kaplan–Meier survival analysis between low- and high-risk groups. (D) Patient distribution in the low- and high-risk groups based on survival status.