Electronic medical record query statement constructing method

A query statement and electronic medical record technology, applied in the direction of electronic digital data processing, data processing applications, instruments, etc., to achieve the effect of improving accuracy

Active Publication Date: 2015-01-07
EAST CHINA NORMAL UNIVERSITY
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Therefore, EMR brings new chal

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  • Electronic medical record query statement constructing method
  • Electronic medical record query statement constructing method
  • Electronic medical record query statement constructing method

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Embodiment

[0036] Hereinafter, the present invention will be further described by taking the test query statement included in the electronic medical record data set of the Text Retrieval Conference (TREC for short) as an example in conjunction with the accompanying drawings.

[0037] refer to figure 1 ,first of all figure 1 Preprocessing of the electronic medical record corpus on the right side.

[0038] In this embodiment, for each medical record, the following steps are performed: word segmentation, stop words are removed, and the number of occurrences of each word is counted. After processing, a set of triples (t, d, k) can be obtained, which means that the number of occurrences of the word t in the medical record d is k. According to formula (1), the average number of occurrences corresponding to each word t can be calculated :

[0039] (1)

[0040] refer to figure 1 ,Followed by figure 1 On the left is the entire query statement construction process....

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Abstract

The invention discloses an electronic medical record query statement constructing method. The method includes the steps of electronic medical record corpus preprocessing, medical term extracting and screening, medical term weight calculating and net query statement constructing, wherein electronic medical record corpus preprocessing includes word segmentation, word frequency counting and probability distribution parameter calculating, medical term extracting and screening includes word segmentation, medical term extracting and medical stopword removing, medical term weight calculating includes Poisson distribution fitting word distribution, medical term occurrence probability calculation and medical term self-information calculation, and new query statement constructing includes subjecting acquired weighted medical terms and an original query statement to linear smooth parameter combination to acquire a new query statement. More effective query can be realized on a medical record set by only applying the electronic medical record query statement constructing method to the new medical record set, so that accuracy in electronic medical record retrieval is improved.

Description

technical field [0001] The present invention relates to technical fields such as information retrieval, query expansion, query word weighting, natural language processing, etc., and specifically relates to a method of using self-information to measure the weight of query words, and reconstructing query sentences with weights according to the original input query sentences. The method is used to improve the precision rate and recall rate of electronic medical record retrieval. Background technique [0002] With the informatization of the medical system, electronic medical records (EMR) are widely used and are growing at an unprecedented rate. Medical records generally include a wealth of information such as the patient's clinical diagnosis, past medical history, examination reports, and treatment drugs. Retrieving this information and performing statistical analysis is beneficial to clinical medical research, and can better diagnose, prevent and treat human diseases. Obviou...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q50/24G16H10/60
CPCG06F16/243G06F16/2457G06Q50/24
Inventor 王文斌顾君忠
Owner EAST CHINA NORMAL UNIVERSITY
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