本文選題：癥狀 + 文本挖掘�。� 參考：《中華中醫(yī)藥雜志》2017年05期

【摘要】：目的:通過比較兩個(gè)基于最大概率法的癥狀提取方案,探討中醫(yī)癥狀信息的提取和標(biāo)準(zhǔn)化。方法:數(shù)據(jù)分析和處理在R 3.3.2上進(jìn)行。運(yùn)用《診斷學(xué)》《中醫(yī)診斷學(xué)》及1 000份已標(biāo)記的肺炎住院病歷建立癥狀標(biāo)準(zhǔn)化數(shù)據(jù)庫,癥狀描述詞庫和關(guān)鍵詞-形容詞詞庫。基于最大概率法分別設(shè)計(jì)出中文分詞方案,直接提取方案和組合提取方案。并用這3種方案對(duì)2 311份肺炎病歷進(jìn)行癥狀信息提取和標(biāo)準(zhǔn)化,從產(chǎn)生維度、手工處理情況、癥狀提取效果對(duì)方案進(jìn)行比較。結(jié)果:直接提取方案和組合提取方案均能有效降低維度,組合提取方案手工處理百分比較小和癥狀提取效果較好。結(jié)論:基于最大概率法的組合提取方案能有效提取中醫(yī)癥狀信息。
[Abstract]:Objective: to study the extraction and standardization of TCM symptom information by comparing two symptom extraction schemes based on maximum probability method. Methods: data analysis and processing were performed on R 3.3.2. Using Diagnostics of traditional Chinese Medicine (TCM Diagnostics) and 1000 marked inpatient medical records of pneumonia to establish a standardized database of symptoms, symptom description lexicon and keyword adjective lexicon. Chinese word segmentation scheme, direct extraction scheme and combination extraction scheme are designed based on maximum probability method. The symptom information of 2 311 cases of pneumonia was extracted and standardized by these three schemes. The results were compared from generation dimension, manual treatment and the effect of symptom extraction. Results: both the direct extraction scheme and the combined extraction scheme could effectively reduce the dimensionality, the percentage of manual processing and the symptom extraction effect of the combined extraction scheme were smaller and better. Conclusion: the combination extraction scheme based on maximum probability method can extract TCM symptom information effectively.
【作者單位】： 廣州中醫(yī)藥大學(xué);
【基金】：教育部博士點(diǎn)基金項(xiàng)目(No.20114425110009)~~
【分類號(hào)】：R241
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本文編號(hào)：2105158