Method for predicting death rate of ICU heart failure patients based on IABC-RF

Abstract

The invention provides a method for predicting the death rate of ICU heart failure patients based on IABC-RF, and the method comprises the following steps: collecting a data set, wherein the data setis the doctor-seeing information of the ICU patients; preprocessing the data set, wherein the preprocessing process comprises data screening, data marking and feature extraction; dividing the preprocessed data set into a training set and a test set; inputting the training set into an unoptimized random forest model for training to obtain an optimized random forest model; and inputting the test setinto the optimized random forest model to obtain a prediction result of death or survival of the heart failure patient in the test set. According to the method, the improved iterative deepening search artificial bee colony algorithm and the random forest model are combined in ICU patient heart failure death rate prediction research for the first time, so the performance of the model is greatly improved while the optimization performance is improved, and the heart failure death rate can be predicted more accurately and faster.

Description

Technical field [0001] The invention relates to the technical field of machine learning, in particular to a method for predicting the mortality of ICU heart failure patients based on IABC-RF. Background technique [0002] Because of the particularity of patients with heart failure in the ICU, the hospital provides the best protection in terms of personnel, equipment, and technology. Continuous or nearly continuous observation, diagnosis, treatment, and monitoring are used to achieve good medical results. At the same time, medical costs are relatively expensive. ICU patients with heart failure are usually critically ill and changeable. Only through the subjective experience and medical methods of experienced doctors to make major decisions for diagnosis and treatment has revealed some limitations. Despite tremendous efforts, many lives still die every day. Therefore, there is an urgent need to utilize a large number of intensive care databases. By establishing a link between data ...

AI Technical Summary

Problems solved by technology

[0002]Because of the particularity of patients with heart failure in the ICU, the hospital provides the best guarantee in terms of personnel, equipment and technology. Through continuous or near-continuous observation, diagnosis and treatment and monitoring, In order to achieve a good medical effect, at the same t

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