Application of predictive model in early diagnosis of lung cancer

doi:10.3969/j.issn.2096-8493.20210037

Abstract

Abstract:

Early diagnosis of lung cancer is an important measure and necessary to reduce the mortality of lung cancer and improve the prognosis. The predictive model can stratify the malignant risk of lung nodules found in lung cancer screening, help clinicians making more scientific clinical decisions, and improve the early diagnosis rate of lung cancer. The application and problems of predictive model in early diagnosis and follow-up management of lung cancer were reviewed.

Key words: Lung neoplasms, Forecasting, Models, statistical, Risk assessment

LIU Hai-yang, ZHANG Xiao-ju. Application of predictive model in early diagnosis of lung cancer[J]. Journal of Tuberculosis and Lung Disease , 2021, 2(3): 262-266. doi: 10.3969/j.issn.2096-8493.20210037

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