A Review of Risk Concepts and Models for Predicting the Risk Of Primary Stroke
Predicting an individual’s risk of primary stroke is an important tool that can help to lower the burden of stroke for both the individual and society. There are a number of risk models and risk scores in existence but no review or classification designed to help the reader better understand how models dier and the reasoning behind these dierences. In this paper we reviewthe existing literature on primary stroke risk prediction models. From our literature review we identify key similarities and dierences in the existing models. We find that models can dier in a number of ways, including the event type, the type of analysis, the model type and the time horizon. Based on these similarities and dierences we have created a set of questions and a system to help answer those questions thatmodelers and readers alike can use to help classify and better understand the existing models as well as help to make necessary decisions when creating a new model.