Method and device for realizing high-risk operation prediction based on K-means clustering, processor and storage medium thereof

The invention relates to a method for realizing high-risk operation prediction based on K-means clustering, and the method comprises the steps: collecting historical cases of an operation patient, andcarrying out the preprocessing and standardization of data; extracting features of the data, and performing feature screening; analyzing and storing K-means clustering; performing improved K mean clustering; evaluating the operation risk according to the clustering center, and predicting the high-risk operation. The invention also relates to a device for realizing high-risk operation prediction based on K-means clustering, a processor and a computer readable storage medium thereof. By the adoption of the method and device for achieving high-risk operation prediction based on K-means clustering, the processor and the computer readable storage medium of the processor, high-risk operation can be effectively predicted, and the process efficiency of empirical hospital management is improved. Besides, the information o