Bloodstream infection predicting system and method thereof

A bloodstream infection predicting system, which is configured to predict a bloodstream infection risk probability according to a real-time data to be tested of a patient, and the bloodstream infection predicting system comprising:

• a memory unit storing a plurality of historical medical data, the real-time data to be tested and a machine learning algorithm;
• and
• a processor signally connected to the memory unit, and configured to implement a bloodstream infection predicting method comprising:
• performing a first data reading step to read the historical medical data from the memory unit;
• performing a model training step to train the historical medical data according to the machine learning algorithm to generate a bloodstream infection prediction model;
• performing a second data reading step to read the real-time data to be tested of the patient from the memory unit;
• and
• performing a risk predicting step to input the real-time data to be tested into the bloodstream infection prediction model to generate the bloodstream infection risk probability;
• wherein the real-time data to be tested comprises an intensive care unit detecting data and a blood inspection data of the patient, and the intensive care unit detecting data and the blood inspection data are detected during a feature window time interval.