Clinical diagnosis auxiliary decision system and medical knowledge atlas accumulation mode

A technology to assist decision-making and clinical diagnosis, applied in the field of clinical diagnosis and medical knowledge map accumulation, can solve problems such as incomplete data, incorrect, imperfect knowledge map, etc., and achieve the effect of auxiliary intercommunication and consistency

Active Publication Date: 2019-04-26
孙炜
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0008] The purpose of the present invention is to provide a clinical diagnosis auxiliary decision-making system and a medical knowledge map accumulation method in order to solve the above problems, which so

Method used

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  • Clinical diagnosis auxiliary decision system and medical knowledge atlas accumulation mode
  • Clinical diagnosis auxiliary decision system and medical knowledge atlas accumulation mode
  • Clinical diagnosis auxiliary decision system and medical knowledge atlas accumulation mode

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Experimental program
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Embodiment Construction

[0035] Such as Figure 1-4 As shown, this embodiment adopts the following technical solutions:

[0036] An auxiliary decision-making system for clinical diagnosis, including knowledge extraction, core knowledge base, keyword or question conversion, logical reasoner, logical expression converter, data standardization 113, and thesaurus generation and standard thesaurus.

[0037] Wherein, the knowledge extraction includes the first knowledge extraction 104, the second knowledge extraction 206 and the third knowledge extraction 304, the knowledge extraction purpose of the first knowledge extraction 104 is different from that of the second knowledge extraction 206 and the third knowledge extraction 304, The purpose of the first knowledge extraction 104 is to extract from the first core knowledge base 105 and any data related to the input keywords from the initial main statement 102 and the heuristic inquiry 103 and their relationship. The first knowledge extraction 104 is Only re...

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Abstract

The invention discloses a clinical diagnosis auxiliary decision system and a medical knowledge atlas accumulation mode. The clinical diagnosis auxiliary decision system comprises a first knowledge extraction unit, a second knowledge extraction unit, a data standardizing unit, a first standard word database, a logic proposition formula conversion unit, a logical reasoning and verifying unit, a keyword or problem conversion unit and a third standard word database. The invention relates to the clinical diagnosis auxiliary decision system and the medical knowledge atlas accumulation mode. The clinical medical knowledge atlas according to the invention is a high-reliability initial small knowledge data set, and is obtained through gradual accumulation in a clinical interrogation diagnosis and auxiliary diagnosis process in an offline mode and an online mode, wherein adding of each new knowledge data is performed based on machine logical reasoning proving or human expert approval. Thereforea reliable data source problem and an accumulation problem are settled. The reliable core knowledge database is the foundation of the whole system, thereby ensuring intercommunication and consistencyof the knowledge data.

Description

technical field [0001] The invention belongs to the technical field of clinical diagnosis and medical knowledge map accumulation, and specifically relates to a clinical diagnosis auxiliary decision-making system and a medical knowledge map accumulation method. Background technique [0002] In the history of clinical medical diagnostic assistance systems, most of them were implemented in the form of expert systems in the early stage. The main implementation methods in the contemporary era are realized by processing a large number of medical records with machine learning and data mining technology and based on medical knowledge map reasoning. These The disadvantages of the method are as follows: [0003] 1. The establishment of an expert system relies on a set of summarized rules. The main factors that make one expert system stronger than another are the completeness, correctness, and expressiveness of these rules. Although the rules can be checked by machines, the rules canno...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70
CPCG16H50/20G16H50/70
Inventor 孙炜
Owner 孙炜
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