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Want a more accurate AI model for predicting CVD? Feed it social data – Cardiovascular Business
Gender, race/ethnicity, marital status, occupation and income, were the most frequently counted SDH variables.
The authors also found that the studies they found were primarily from North America, Europe, and China, thereby limiting the diversity of the…
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