Data-driven clinical decision support system evaluation and optimization method and system

Abstract

The embodiment of the invention discloses a data-driven clinical decision support system evaluation and optimization method and system, and relates to the technical field of artificial intelligence medical treatment. The method comprises the following steps of configuring a clinical decision support system, preparing real-world data, applying the clinical decision support system based on the real-world data, evaluating and optimizing a single rule set, and generating an evaluation report and an optimization plan. Accordingly, by using the real-world data, the clinical decision support system is evaluated and optimized from the perspectives of completeness, accuracy, consistency, and uncertainty of rules, the problems of knowledge stocks in the specific field in an existing clinical decision support system can be solved, the completeness of the rules is checked, contradictory rules are detected, rule conflicts are detected, the consistency of the rules is quantified, and the probabilitydescription of the rule uncertainty is achieved; the quality of knowledge is helped to be improved, and thus the decision support level of the clinical decision support system is improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of artificial intelligence medical technology, in particular to a method and system for evaluating and optimizing a data-driven clinical decision support system. Background technique [0002] An expert system is an intelligent computer program system that simulates human experts to solve problems in a specific field. It contains knowledge and experience equivalent to the level of experts in this field, and on this basis, it deals with problems in this field. Expert system is a very active and important application field of artificial intelligence. Through expert system, artificial intelligence has achieved a breakthrough from theoretical research to practical application, from general reasoning strategies to the use of specialized knowledge. [0003] Most of the existing clinical decision support systems (CDSS) are rule-based expert systems. A clinical decision support system has two core compon...

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Problems solved by technology

[0011] To this end, the embodiment of the present invention provides a data-driven clinical decision support system evaluation and optimization method and system to solve the incomplete rules and self-contradictions of the rules in the existing clinical decision support system for specific fields of knowledge , rule conflicts, the consistency of rules is difficult to measure, and the lack of probabilistic description of rule uncertainty

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