本文選題：過(guò)程挖掘　切入點(diǎn)：臨床診療過(guò)程　出處：《計(jì)算機(jī)集成制造系統(tǒng)》2017年05期 　論文類型：期刊論文

【摘要】：為了從過(guò)往的醫(yī)療數(shù)據(jù)中得到清晰可理解的過(guò)程模型,并將其合理應(yīng)用于醫(yī)療決策的制定以及臨床路徑的改善,提出一種全新的臨床診療過(guò)程挖掘方案,通過(guò)將相關(guān)臨床診療事件進(jìn)行合理打包來(lái)減少作為過(guò)程挖掘算法輸入的事件個(gè)數(shù),從而簡(jiǎn)化挖掘到的臨床診療過(guò)程模型。針對(duì)臨床診療事件打包,提出一種基于條件概率的打包算法,該算法將條件概率作為衡量事件之間關(guān)聯(lián)程度的標(biāo)準(zhǔn),并將關(guān)聯(lián)程度達(dá)到一定程度的事件進(jìn)行打包。實(shí)驗(yàn)結(jié)果表明,所提出的臨床診療過(guò)程挖掘方案確實(shí)能夠得到清晰可理解的過(guò)程模型,所提出的打包算法能夠在更高容忍度的基礎(chǔ)上得到更加精確、合理的結(jié)果。
[Abstract]:In order to get a clear and understandable process model from the past medical data and apply it to the making of medical decision making and the improvement of clinical path, a new mining scheme of clinical diagnosis and treatment process is proposed. By reasonably packaging the relevant clinical diagnosis and treatment events to reduce the number of events as input of the process mining algorithm, the model of clinical diagnosis and treatment process can be simplified. A packing algorithm based on conditional probability is proposed, in which conditional probability is taken as the criterion to measure the degree of correlation between events, and events with a certain degree of association are packaged. The experimental results show that, The proposed mining scheme of clinical diagnosis and treatment process can indeed obtain a clear and understandable process model, and the proposed packaging algorithm can obtain more accurate and reasonable results on the basis of higher tolerance.
【作者單位】： 清華大學(xué)軟件學(xué)院;
【分類號(hào)】：R197.3;TP311.13
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本文編號(hào)：1571749