Cardiovascular Stroke Prediction Using Machine Learning

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In this whitepaper, we will discuss how predictive analytics for cardiovascular disease provide an accurate analysis of many standard variables of life insurance policies, such as drug combinations, dosage, frequency of use, a person’s gender, age, the severity of conditions, other health decisions, behavior, and common patterns.

Cardiovascular disease generally refers to conditions that involve narrowed or blocked blood vessels that can lead to a heart attack, chest pain (angina), or stroke. Other heart conditions, such as those that affect your heart’s muscles, valves, or rhythm, also are considered forms of heart disease. A cardiovascular accident (stroke) is a disturbance of the irrigation of the brain which can have two causes: an artery blocked by a clot or the rupture of an artery which will create a hematoma. A cardiovascular stroke is the most common type of stroke. 85% of strokes are of ischemic origin. A stroke occurs when an artery becomes blocked which prevents the irrigation of part of the brain and prevents it from functioning properly.

The stroke symptoms can be paralysis, loss of strength on one side of the body, arm, leg, or face, or all at the same time, loss of speech, difficulty in articulating, in getting out words or words that come in place of other words, or even in difficulty in getting out the words in their head. Finally, an extremely sudden, unusual headache, usually very violent, can signal a stroke.

Stroke Prediction Using Machine Learning

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