Intelligent auxiliary medical treatment decision supporting method of two-stage mixed model

Abstract

An intelligent auxiliary medical treatment decision supporting method of a two-stage mixed model mainly comprises the following steps that based on a subtractive clustering method, real medical treatment sample data information is subjected to weighting preprocessing, and a nonlinear indivisible feature space is converted into a divisible linear data feature space; based on an efficient extremity learning machine model, weighting feature data obtained by preprocessing are used, and a medical treatment decision supporting model is established by data self learning; and based on the established learning model, real medical treatment data are used, a study object is subjected to classification forecasting, and accordingly the fact that reliable efficient auxiliary forecasting support is provided for a target user is achieved. The intelligent auxiliary medical treatment decision supporting method has the main advantages that the method is simple and easy to realize, and forecasting results with high accuracy can be generated; the number of parameters involved in the method is small, parameter influence is low, namely needed human intervention is low, and operation is convenient; and the method is high in computing speed and efficiency.

Description

technical field [0001] The invention belongs to the field of intelligent decision-making, and in particular relates to an intelligent auxiliary medical decision-making support method of a two-stage mixed model. Background technique [0002] Intelligent decision-making is one of the most active research contents in the fields of data mining, pattern recognition and machine learning. It has a powerful ability to automatically learn data, extract hidden rules or models from it, and make intelligent decisions. It has a very wide range of applications in reality (such as medical diagnosis and financial risk prediction, etc.). [0003] Medical diagnosis is the application of intelligent decision-making technology in the medical field. It assists doctors in better diagnosing various diseases by building a diagnostic system. The traditional medical diagnosis process is a decision-making process in which doctors reason and diagnose new patients based on clinical experience. To a lar...

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Problems solved by technology

[0011] Aiming at problems such as medical diagnosis overly relying on experience accumulation or decision-making errors caused by insufficient experience, it is necessary to construct a diagnostic model with strong generalization ability, the purpose of this invention is to provide a two-stage mixed model intelligent assisted medical decision support method

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