The invention belongs to the field of
medical instruments, and particularly relates to a medical instrument related pressure damage prediction and early warning method and
system. The method mainly comprises the following steps that a multi-sensor network is adopted, a key area where a patient makes contact with a medical instrument is covered, key area data are collected, preprocessing, filtering and denoising are conducted on the collected
original data of the key area so that abnormal values and
noise interference can be eliminated, and a
solid foundation is laid for subsequent
data analysis; and carrying out data fusion,
feature extraction and model construction on the preprocessed data, predicting the MDRPI risk by using an MDRPI risk prediction model, carrying out
risk assessment in combination with the specific condition of a patient, and giving an alarm in time when the risk is high. According to the MDRPI risk prediction method, accurate prediction of the MDRPI risk is realized through the MDRPI risk prediction model, false report and missing report are reduced,
continuous optimization of the model is promoted through an intelligent feedback mechanism, and the prediction accuracy and the
system applicability are improved.