Heparin dose prediction method and device

Abstract

The invention provides a heparin dose prediction method and device, and the method comprises the steps: obtaining the clinical observation data of a patient for injection, and extracting a parameter value corresponding to a heparin dose influence parameter contained in the clinical observation data according to a preset heparin dose influence parameter; respectively combining the parameter value with each normalized heparin dose value in a preset normalized heparin dose set to obtain a combined parameter value matched with the input of a preset treatment classification model; inputting the combined parameter value into a preset treatment classification model to obtain a probability value that the combined parameter value belongs to a normal treatment in treatment classification, and obtaining a target combined parameter value corresponding to the maximum probability value; and predicting the heparin dose of the patient to be injected according to the heparin dose range corresponding tothe normal treatment and the normalized heparin dose value in the target combination parameter value. The prediction accuracy of the heparin dose can be improved.

Description

technical field [0001] The invention relates to the technical field of medical injection, in particular to a method and device for predicting heparin dosage. Background technique [0002] Heparin is an anticoagulant with anticoagulant effect. It is mainly used clinically for thromboembolic diseases, myocardial infarction, cardiovascular surgery, cardiac catheterization, extracorporeal circulation, hemodialysis, etc. In clinical practice, when using heparin for anticoagulant therapy, it is necessary to strictly control the dose of heparin to maintain the balance of the body's coagulation function. Sexual bleeding, leading to super therapy. [0003] Currently, weight-based heparin dose nomograms are generally used to predict heparin doses for anticoagulant therapy, and during treatment, blood samples are collected every 4-6 hours to monitor activated partial thromboplastin time (aPTT, activatedPartial Thromboplastin Time) , and adjust the subsequent heparin dose accordingly....

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Problems solved by technology

[0004] However, the current dosing guidelines for heparin only consider the patient's weight, which is likely to cause dosage errors, resulting in sub-therapeutic or super-therapeutic

Statistics based on the open research data set of intensive care medicine (Multi-parameter Intelligent Monitoring In Intensive Care III, MIMIC-III) also showed that under the current administration guidelines of the weight-based heparin dose nomogram, patients receiving intravenous bolus Among the patients, those who belonged to normal treatment accounted for only 25.30% of the total number of patients, and the rest were super-treatment or sub-treatment. Due to the poor prediction accuracy of the heparin dose based on the weight-based heparin dose nomogram, patients could not achieve the body's Balanced blood coagulation function, poor effect of anticoagulant therapy

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