Health data analytics must actively address biases that can perpetuate inequalities in healthcare outcomes. This includes ensuring diverse and representative data samples that accurately reflect the health needs of women from all backgrounds, including different races, ages, socio-economic statuses, and more. Addressing bias in health data analytics can help develop insights that are truly beneficial and applicable to all women.
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