Serum Tumor Markers Detection Based on Data Mining Technology for Assisted Diagnosis and Therapeutic Evaluation of Lung Cancer

In recent years, the diagnosis and treatment of lung cancer has been rapidly improved, but there is no specific clinical symptoms in the early stage of lung cancer. Therefore, to explore and develop effective methods of early detection and early diagnosis is of great significance to improve the treatment and prognosis of lung cancer patients, as well as the health and quality of life of patients. The clinical data of 99 patients with lung cancer admitted to the Anhui provincial Hospital were retrospectively analyzed. Patients with advanced lung cancer  were diagnosed for the first time. Serum tumor markers and clinical features were recorded before initial treatment. To analyze the relationship between changes in serum tumor markers and short-term therapeutic effects. The level of serum tumor markers in lung cancer is significantly higher than that in patients with benign diseases. There were no significant differences in CEA levels between patients with different types of lung cancer. This indicates that the combined detection of serum tumor markers can improve the accuracy and sensitivity, and is of great significance for the diagnosis and treatment of lung cancer.