Health data analytics can play a significant role in closing the gender health gap by improving disease prediction and prevention measures. Analyzing health data with a gender lens allows for the identification of disease patterns and risk factors that are unique or more prevalent in different genders. As a result, preventive strategies can be tailored more effectively, reducing the incidence of gender-specific health issues.
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