BLOODSTREAM INFECTION PREDICTING SYSTEM AND METHOD THEREOF

• Main Authors: LIU, PO-YU, HONG, DA-JUN, CHEN, YU-FEN, WANG, MIN-SHIAN, LIN, YAN-NAN, WU, CHIEH-LIANG, LIAO, JIAN-LUN, PAI, KAIIH, SHEU, RUEY-KAI, CHEN, LUNI
• Format: Patent
• Language: Chinese; English
• Published: 11.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DIAGNOSIS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

A bloodstream infection predicting system is proposed. The bloodstream infection predicting system includes a memory unit and a processor. The memory unit stores a plurality of historical medical data, a real-time data to be tested and a machine learning algorithm. The processor is configured to implement the above steps. The first data reading step is performed to read the historical medical data. The model training step is performed to train the historical medical data to generate a bloodstream infection predicting model. The second data reading step is performed to read the real-time data to be tested of a patient. The risk predicting step is performed to input the real-time data to be tested to the bloodstream infection predicting model to generate a bloodstream infection risk probability. The real-time data to be tested includes an intensive care unit (ICU) detecting data which is detected during a feature window period and a hematology feature data. Thus, the bloodstream infection predicting system of t