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Clinical intelligent auxiliary decision-making method and system for acute respiratory distress syndrome
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A technology for acute respiratory distress and assisting decision-making, applied in the field of clinical medicine, it can solve the problems of low decision-making accuracy and work efficiency, and achieve the effect of improving decision-making accuracy and work efficiency, and high-efficiency treatment services.
Pending Publication Date: 2021-06-11
青岛百洋智能科技股份有限公司
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[0004] Aiming at the above-mentioned problems of decision-making accuracy and low work efficiency in the prior art, the present invention provides a clinical intelligent auxiliary decision-making method and system for acute respiratory distress syndrome, which is used for auxiliary decision-making for clinical treatment of acute respiratory distress syndrome, and provides Clinicians provide references to improve decision-making accuracy and work efficiency
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[0074] Chest imaging description: diffuse interstitial pulmonary edema, mainly with bilateral opacity mainly in the surrounding lung air spaces and bilateral small pleural effusions.
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Abstract
The invention relates to a clinical intelligent auxiliary decision-making method and system for acute respiratory distress syndrome. The method comprises the following steps: establishing an index data set; extracting logic rules in the Berlin definition guide, and establishing an ARDS diagnosis model; constructing an ARDS treatment knowledge graph and a rule database; performing logical reasoning by using a rule engine based on the ARDS treatment knowledge graph and the rule knowledge base, and constructing an ARDS treatment model; constructing and forming a case data set based on clinical electronic cases of the ARDS real world; inputting the patient indexes in the case data set into the ARDS diagnosis model and the ARDS treatment model, judging whether the patient is an ARDS patient or not through the ARDS diagnosis model, and judging whether a recommended treatment scheme exists or not through the ARDS treatment model. The method is used for auxiliary decision making of clinical treatment of the acute respiratory distress syndrome, provides a reference basis for clinicians, and improves decision making accuracy and working efficiency.
Description
technical field [0001] The invention belongs to the technical field of clinical medicine, and in particular relates to a clinical intelligent auxiliary decision-making method and system for acute respiratory distress syndrome. Background technique [0002] Acute respiratory distress syndrome (ARDS) is the most common complication in critically ill patients. Although a large number of researches are conducted around the world every year, the mortality rate remains high. Early detection and appropriate treatment are important methods to improve prognosis. However, for critically ill patients with complex and rapidly changing conditions, especially under the busy working background of the ICU, it is easy to miss diagnosis and treatment. Although there is a lot of background on the era of big data, the convergence of information technology can significantly improve work efficiency. [0003] Although a large number of guidelines and workflows for ARDS have been continuously form...
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