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Machine Learning Models: Improve Heart Disease Diagnosis in Women

Women s heart disease is underdiagnosed, but new machine learning models can help solve this problem

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New models improve heart disease risk prediction, especially for women

When it comes to matters of the heart, cardiovascular disease in women is underdiagnosed compared to men. A popular scoring system used to estimate how likely a person is to develop a cardiovascular disease within the next 10 years is the Framingham Risk Score. It is based on factors including age, sex, cholesterol levels, and blood pressure.

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