数据挖掘在护理领域中的应用进展

发布时间：2018-04-28 01:55

本文选题：数据挖掘 + 护理信息学　；参考：《中华护理杂志》2017年10期

【摘要】：正数据挖掘是指从大量数据中挖掘有用知识的过程~([1]),它的技术主要来源于统计学、机器学习、模式识别和数据仓库等学科。数据挖掘是知识发现的一个步骤。2011年,国际数据公司认为人类社会产生和复制的数据十分庞大,并以每2年翻倍的速度增长~([2])。医疗卫生领域也产生了大量有价值的数据,充分挖掘并利用这些数据有助于改善照护方法~([3-5]),促进人群健康~([6-8]),节约医疗费用~([9-11])。数据挖掘在医疗领域
[Abstract]:Positive data mining refers to the process of mining useful knowledge from a large amount of data. Its technology mainly comes from statistics, machine learning, pattern recognition and data warehouse. Data mining is a step in knowledge discovery. In 2011, international data companies considered that the data produced and copied by human society was very large and doubled every two years ([2]). The medical and health field has also produced a large amount of valuable data, which can be fully mined and utilized to help improve care methods ([3-5]), promote population health ([6-8]), and save medical costs ([9-11]). Data Mining in Medical Field
【作者单位】：四川大学华西医院/华西护理学院;
【分类号】：R47

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