Intelligent delirium evaluation system and method for intensive care unit

Abstract

The invention relates to an intelligent delirium evaluation device for an intensive care unit, in particular to an intelligent evaluation system for a to-be-evaluated object such as an ICU patient, and at least one of the language expression ability, the physical activity ability and the facial expression ability of the to-be-evaluated object is limited. The evaluation device includes: a storage device and a processing terminal and further comprises a delirium model establishing device used for acquiring pre-trigger parameters of a training data set and delirium results of the pre-trigger parameters as training attributes and generating a pre-trigger prediction model by training the pre-trigger parameters and the delirium results; and a delirium performance prediction device used for executing dynamic input set analysis at least based on the prediction model before triggering so as to determine a delirium performance prediction output set of the to-be-evaluated object. Therefore, the evaluation device can realize accurate delirium evaluation of the to-be-evaluated object on the basis of distinguishing delirium expression from similar delirium expression caused by central neuropathy.

Description

technical field [0001] The invention relates to the technical field of delirium care, in particular to an intelligent delirium evaluation system and evaluation method for intensive care units. Background technique [0002] Delirium is the most common mental disorder in general hospitals, accounting for 5%-15% of medical and surgical patients. After surgery under general anesthesia, the incidence of delirium can be as high as 50%. One-third of patients aged 70 years and older in general medical and surgical wards had delirium, half of them had delirium on admission, and the other half had delirium during hospitalization. In addition, delirium is the most common surgical complication in the elderly. About 15-25% of patients undergoing elective surgery may develop delirium, while the incidence of delirium in patients undergoing high-risk surgery (including hip fracture repair and heart surgery, etc.) is as high as 50%. The cumulative incidence was 75% in patients receiving m...

AI Technical Summary

Problems solved by technology

[0009] In view of the deficiencies of existing technologies, for example, the existing single diagnostic technology for delirium cannot effectively prevent or easily lead to the exacerbation of delirium, and it is difficult for doctors to accurately identify delirium with high similarity based on limited clinical experience For the problem of POCD, the present invention proposes an evaluation device for the intensive care unit, which can analyze the situation of the object to be evaluated before the operation and timely feed back the analysis results to the doctor. The evaluation device is not only for preoperative guidance and optimization The current trigger event information / surgical information of the subject to be evaluated provides a reliable reference for physicians on how to adjust surgical parameters while minimizing the occurrence / deterioration of delirium; more importantly, it can continue to treat the subject before and after surgery In particular, it is realized on the basis of distinguishing delirium manifestations from similar delirium manifestations caused by central neuropathy after surgery, avoiding the difficulty of diagnosis and treatment due to similar delirium manifestations and easy misdiagnosis Serious consequences

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