Method for establishing intelligent matching model of CT enhanced contrast agent

• Main Authors: PENG WANLIN, XU XU, HU SIXIAN, ZENG WEN, LI ZHENLIN, QU JIANMING, ZENG LINGMING, ZHANG JINGE, ZHAO WU, LIU KELING, XIA CHUNCHAO, SONG BIN
• Format: Patent
• Language: Chinese; English
• Published: 11.12.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a method for establishing an intelligent matching model of a CT enhanced contrast agent, and belongs to the field of medical big data analysis; the method comprises the steps:standardizing data, and counting the number of allergic patients subjected to CT enhanced examination and contrast agent allergic reaction index data; aggregating the number of patients allergic to the CT enhanced examination and contrast agent allergic reaction index data; using a Bayesian ridge regression model to predict which contrast agent used by future CT enhanced inspectors has anaphylactic reaction; calculating correlation between ta prediction sequence and a real contrast agent allergic people number sequence to obtain the correlation degree between the influence factor and the contrast agent allergic reaction, and obtaining a key factor influencing the contrast agent according to the analysis result; and through logistic regression analysis, obtaining the weight of the independent variable, and determin