本文選題：數(shù)據(jù)挖掘 + 護(hù)理信息學(xué)　； 參考：《中華護(hù)理雜志》2017年10期

【摘要】：正數(shù)據(jù)挖掘是指從大量數(shù)據(jù)中挖掘有用知識的過程~([1]),它的技術(shù)主要來源于統(tǒng)計(jì)學(xué)、機(jī)器學(xué)習(xí)、模式識別和數(shù)據(jù)倉庫等學(xué)科。數(shù)據(jù)挖掘是知識發(fā)現(xiàn)的一個(gè)步驟。2011年,國際數(shù)據(jù)公司認(rèn)為人類社會(huì)產(chǎn)生和復(fù)制的數(shù)據(jù)十分龐大,并以每2年翻倍的速度增長~([2])。醫(yī)療衛(wèi)生領(lǐng)域也產(chǎn)生了大量有價(jià)值的數(shù)據(jù),充分挖掘并利用這些數(shù)據(jù)有助于改善照護(hù)方法~([3-5]),促進(jìn)人群健康~([6-8]),節(jié)約醫(yī)療費(fèi)用~([9-11])。數(shù)據(jù)挖掘在醫(yī)療領(lǐng)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
【作者單位】： 四川大學(xué)華西醫(yī)院/華西護(hù)理學(xué)院;
【分類號】：R47

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