The invention discloses a
vancomycin antibacterial effect prediction method based on
multivariate analysis, and relates to the technical field of medical
data analysis and prediction.The
vancomycin antibacterial effect prediction method comprises the steps that S1, prediction data of a target patient is collected, the prediction data comprises static
baseline data acquired at the beginning of treatment and dynamic
time sequence data acquired at a preset time interval in the treatment process; and S2, preprocessing the prediction data, wherein the preprocessing comprises performing data cleaning on missing values and abnormal values in the static
baseline data and the dynamic
time sequence data. According to the method, the static
baseline data at the beginning of the treatment and the dynamic
time sequence data in the treatment process are fused, and the time sequence
evolution rule of the dynamic index is captured by using the long and short-
term memory network, so that the
treatment failure probability and the
kidney injury risk probability are dynamically predicted. Meanwhile,
supervised learning samples are generated through a sliding window, targeted data preprocessing and risk early warning and trend chart
visualization are carried out, the prediction result can be updated in real time, and the prediction precision is improved.