Using decision trees to predict stroke risk factors

by Luís Rafaeli Coutinho and Josenilton da Silva Nascimento and Hidelbrando Ferreira Rodrigues

2023.2(2);10.58396/bephs020201 - 31 Oct 2023

Stroke remains one of the main causes of disability and mortality in the world with complex socioeconomic consequences. Stroke is a heterogeneous disease with multiple causes, risk factors, contexts and additives to be researched. The residual effects of stroke have a negative impact on the quality of life by limiting physical, social and emotional health. Both for people with stroke and for their families and caregivers. Primary stroke prevention should expand actions to reduce risk factors that may be modifiable. This study provides an estimate by using the decision tree algorithm of stroke risk factors in the context of Primary Health Care in a survey carried out with the population of a Health Center located in the South region of Brazil. It aimed to identify predisposing factors to the risk of stroke, and to raise awareness about risk factors aimed at prevention. Lifestyle changes and a routine of healthy habits can reduce risk factors and the chances of a stroke. Public prevention policies should consider risk factors as a basis for discussing effective preventive measures and possible future directions in disease care. To improve primary prevention with specific strategies, depression and sleep quality require an in-depth investigation of their mechanisms in the development of stroke. Emerging technologies have the potential to collaborate with prevention.