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  1. 30 Οκτ 2018 · In this chapter, we introduce the concept of Health Data Science and define its three domains: technology, analytics, and conceptual. In the technology domain, we drill down from computer science via health informatics to public health informatics.

  2. 16 Αυγ 2021 · Data science provides aid to process, manage, analyze, and assimilate the large quantities of fragmented, structured, and unstructured data created by healthcare systems. This data requires effective management and analysis to acquire factual results.

  3. 9 Οκτ 2024 · The open access journal Health Data Science, published in association with PKU, publishes innovative, scientifically-rigorous research to advance health data science.

  4. 21 Αυγ 2021 · Data science and big data analytics can provide practical insights and aid in the decision-making of strategic decisions concerning the health system. It helps build a comprehensive view of patients, consumers, and clinicians.

  5. 18 Απρ 2024 · This paper aims to explore various data science techniques employed in the field of healthcare, highlight corresponding challenges, and identify opportunities for innovation. A comprehensive literature review was conducted to gather insight into the current use to data science applications in healthcare domain.

  6. A keynote address focused on innovative uses of data science methods to advance health, while a series of panels featuring leading experts discussed key research, educational, and ethical issues surrounding data science within the field of public health.

  7. 16 Ιουν 2021 · In the global context, health data sciencecombining mathematics, statistics, computer science, and medicine—has quickly become an emerging and promising field to provide solutions to complex real-world health problems.

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