Helicobacter pylori infection prediction method and system based on data mining

The invention discloses a helicobacter pylori infection prediction method and a helicobacter pylori infection prediction system based on data mining. The helicobacter pylori infection prediction method comprises the following steps: acquiring various research factors aiming at helicobacter pylori research from historical medical records and questionnaire data of a research object; secondly, performing dimension reduction processing on multiple research factors, and selecting multiple significance factors from the multiple research factors after dimension reduction; then performing binary Logistic regression on various saliency factors mined from the data until a prediction model is obtained through training; and finally, predicting whether a to-be-detected object is infected with the helicobacter pylori or not through the prediction model. According to the method, the factors having a linear relationship with the helicobacter pylori infection can be fully excavated, the influence of different factors on the h