Consideraciones de atutor1/7/2023 ![]() 43.79 ± 23.86, t=7.466, P=0.000), so the method of software was much faster than the manual method. The time for software to determine acid- base imbalances was significantly shorter than the manual judgment (seconds:18.14 ± 3.80 vs. It was demonstrated that the consistency was very good. The Kappa value of judgment result from software and manual judgment was 0.935, P=0.000. The accuracy of the judgment results of the normal and triplex types from computer software compared with which were calculated manually was 100%, the accuracy of the simple type judgment was 98.9% and 78.0% for the mixed type, and the total accuracy was 95.5%. The clinical diagnosis of the types of acid- base imbalance for the 220 patients: 65 cases were normal, 90 cases with simple type, mixed type in 41 cases, and triplex type in 24 cases. The consistency of judgment results from software and manual calculation was evaluated, and the judgment time of two methods was compared. At the same time the data generation was calculated manually by H-H compensation formula for determining the type of acid- base imbalance. Data were entered into the software for acid- base imbalances judgment. The arterial blood gas and electrolytes included data (Na⺠and Clâ») were collected. The clinical data of 220 patients admitted to the Second Affiliated Hospital of Guangzhou Medical University were retrospectively analyzed. Using VBA programming language, a computer aided diagnostic software for the judgment of acid- base balance was developed. To develop a blood gas, acid- base imbalance analysis computer software to diagnose systematically, rapidly, accurately and automatically determine acid- base imbalance type, and evaluate the clinical application. ![]() Ĭhen, Bo Huang, Haiying Zhou, Qiang Peng, Shan Jia, Hongyu Ji, Tianxing In data flow level, behavioral evidence evaluation based on fuzzy decision analysis method is put forward. In control flow level, method of the software behavior of trace based on support vector machine (SVM) is proposed. In view of the correlation software behavior, we evaluate software behavior credibility from two levels of control flow and data flow. Research on software behavior trust based on hierarchy evaluation
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