Disease entity recognition method and device for multiple data sources
A technology of entity recognition and multiple data sources, applied in the field of medical entity recognition, can solve problems such as inaccurate disease entity recognition
Active Publication Date: 2019-07-19
易保互联医疗信息科技(北京)有限公司 +1
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Problems solved by technology
[0004] Embodiments of the present invention provide a multi-data source-oriented disease entity recognition method and device to solve the problem that the current entity recognition scheme cannot accurately identify disease entities
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[0089]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0090] Such as figure 1 As shown, the embodiment of the present invention provides a disease entity recognition method for multiple data sources, including:
[0091] Step 101, acquire the sentences to be processed in the original data.
[0092] Step 102. Segment the sentence to be processed into individual characters, and determine each character in the sentence to be processed.
[0093] Step 103, according to the pre-trained CRF training model, determine the...
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The invention provides a multi-data source-oriented disease class entity identification method and device, and relates to the technical field of medical treatment entity identification. The method comprises the following steps of: obtaining a to-be-processed statement in original data; carrying out word segmentation on the to-be-processed statement to determine each character in the to-be-processed statement; determining an entity mark, in the to-be-processed statement, of each character in the to-be-processed statement according to a pre-trained CRF training model and determining an entity mark sequence of the to-be-processed statement; determining a first group of candidate entities of the to-be-processed statement according to the entity mark sequence of the to-be-processed statement; carrying out term segmentation on the to-be-processed statement according to a preset disease class term segmentation strategy so as to obtain a second group of candidate entities; screening the candidate entities so as to respectively form a first group of disease class candidate entities and a second group of disease class candidate entities; and determining a disease class entity result from the first group of disease class candidate entities and the second group of disease class candidate entities according to a preset judging strategy.
Description
technical field [0001] The invention relates to the technical field of medical entity recognition, in particular to a multi-data source-oriented disease entity recognition method and device. Background technique [0002] At present, in the era of big data, with the continuous development of the medical and health field, data of different businesses and different formats in the medical and health field emerge from various fields. These data are called medical big data. A large amount of information that can be identified and mined is hidden in medical big data, which is a treasure trove of medical knowledge. Therefore, how to use medical big data to serve medical institutions and patients is an important topic at present, and it is also a hot spot and a key issue in the era of mobile Internet medical care. At present, the application direction of medical big data is as follows: 1) comparative study of clinical treatment effect, the main idea is to analyze patient characteris...
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IPC IPC(8): G16H50/70G06F17/27G06F16/28
CPCG06F16/288G06F40/289G16H50/70
Inventor 李雪莉黄玉丽关毅
Owner 易保互联医疗信息科技(北京)有限公司