ABSTRACT
Shifting demographics and the growing prevalence of critical modifiable risk factors mean that stroke is a significant cause of early deaths and ill health in low- and middle-income nations such as India. Both transmissible and non-transmissible illnesses afflict emerging economies. The weak are disproportionately impacted by stroke because of changing exposures to risk factors and, sadly, their inability to pay the high costs of stroke treatment. Stroke victims are permanently handicapped, and the expenses of continuous physiotherapy and long-term treatment are borne primarily by family members, putting their savings in jeopardy. It is therefore highly desirable for doctors to be able to anticipate the likelihood of a stroke. Acceptable goals can be set with patients and families, and the expected recovery or rehabilitation decisions can be reached before treatment. The aim of this study is to develop a method of predicting stroke based on symptoms before it reaches a serious condition.
