Clinical Nursing Strategies for Pulmonary Disease Patients Based on Random Forest Algorithm
Yu Dai, Ding Luping, He Lingmei, Junfeng Wang, Cui Dehua · 2023
Lung disease is a chronic, consumptive and infectious disease, which seriously endangers human health. Taking chronic obstructive pulmonary disease (COPD) as the research object, the Random Forest Algorithm (RFA) was proposed in this paper. The clinical nursing(CN) strategies for patients with pulmonary disease based on SFA were studied and analyzed; The CN strategies of different lung diseases were discussed, and then the CN strategies of lung disease patients under the RFA were analyzed; Finally, the RFA is tested. The results show that the accuracy of lung CT images is as high as 99.09% by using this algorithm. It is of great significance for CN of lung diseases to verify the effectiveness and accuracy of this research algorithm.