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What is Stroke Risk Factors and Prediction Analysis about?

This study examines stroke risk factors using data visualization to predict stroke likelihood based on various parameters such as gender, age, medical conditions, smoking status, body mass index, and average glucose levels. The findings indicate that awareness of these risk factors can improve treatment outcomes and reduce stroke incidence. The research highlights the importance of lifestyle factors and medical history in assessing stroke risk, particularly in low- and middle-income countries.

Author

mccsimo35

Language

EN