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  1. 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.

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  2. Twenty-five of the articles we reviewed focus on the theoretical aspects of the application of data mining in healthcare including designing the database framework, data collection, and management to algorithmic development.

  3. 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.

  4. 21 Αυγ 2021 · The article provides an insight into the status and prospects of big data analytics in healthcare, highlights the advantages, describes the frameworks and techniques used, briefs about the challenges faced currently, and discusses viable solutions.

  5. 24 Φεβ 2019 · The goal of this chapter is to provide an overview of needs, opportunities, recommendations and challenges of using (Big) Data Science technologies in the healthcare sector.

  6. Data Science in Healthcare. The confluence of science, technology, and medicine in our dynamic digital era has spawned new data applications to develop prescriptive analytics, to improve healthcare person-alization and precision medicine, and to automate the report-ing of health data for clinical decisions.1 Data science in health care has seen ...

  7. 9 Ιουν 2021 · Our journal is committed to improving data and evidence-based decision-making, promoting the ethical application of cutting-edge technologies and analytic approaches, advancing the horizon of health data science, and creating value in real-world health practice.

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