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医疗大数据在心血管疾病中的应用:潜力与挑战
Application of Healthcare Big Data in Cardiovascular Disease:Potential and Challenges
【摘要】 越来越多的医疗机构通过电子健康档案、组学、医学影像资料和可穿戴设备等作为健康和疾病相关的电子记录,并将这些记录数据用于研究。将医学实践作为证据的基于数据和精准医疗的新时代正在到来。通过对大量数据进行整合分析,识别危险因素与疾病的相关性并进行风险预测,最终改善疾病的治疗和预后。现就医疗大数据的特性及来源、大数据分析的技术、大数据在心血管疾病研究中的优势以及面临的挑战做一综述。
【Abstract】 More and more medical institutions use electronic health records, omics, medical imaging materials and wearable devices as electronic records related to health and disease, and use these recorded data for research.A new era of data-based and precision medicine based on medical practice as evidence is coming.Through integrated analysis of large amounts of data, the correlation between risk factors and diseases can be identified and the risk prediction can be made to improve the treatment and prognosis of diseases.The characteristics and sources of medical big data, the tools of big data analysis, the advantages of big data in the research of cardiovascular disease, the challenges faced by big data are described in this paper.
- 【文献出处】 心血管病学进展 ,Advances in Cardiovascular Diseases , 编辑部邮箱 ,2022年07期
- 【分类号】R54
- 【下载频次】316