Machine Learning Models: Improve Heart Disease Diagnosis in Women
A study by scientists shows machine learning models improve prediction of heart disease in women and that sex-specific and patient-specific medicines are future of healthcare.
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A study by scientists shows machine learning models improve prediction of heart disease in women and that sex-specific and patient-specific medicines are future of healthcare.
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.
Consultant cardiologist Chris Ellis discusses the management of a patient with chest discomfort and an abnormal electrocardiogram pattern
However, results from the Vet-COACH trial reported a significant improvement in mental health–related quality of life in the intervention group compared with the control group.
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