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The Future of Data Science in Wearable Health
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1
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2025
Jahr
Abstract
Wearable health technology is transforming the healthcare landscape by enabling continuous health monitoring, real-time disease detection, and personalized treatment recommendations. Data science plays a crucial role in processing and analyzing data from wearable devices, offering insights into vital signs, physical activity, and overall well-being. By leveraging artificial intelligence (AI), machine learning (ML), and big data analytics, wearable health technologies provide predictive analytics for chronic disease management, early diagnosis, and fitness optimization. This paper explores the future of data science in wearable health technology, covering key applications such as AIdriven health monitoring, predictive analytics for early disease detection, and real-time health interventions. Additionally, challenges such as data privacy, security risks, and algorithmic bias are discussed, along with emerging trends in AI-powered wearable health innovations.
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