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为提高肺癌的早期诊断，应用专家的经验进行逻辑综合分析并与分子水平的早期指标相结合，经过临床病例分析，结合文献，整理出３０多项条件，将专家的经验组成数据库，对输入条件组程，采用电子计算机技术建立自学习反馈系统，建立较完整的病人档案以及一整套的查询系统，最大限度利用信息量。对肺癌患者，该专家系统可对患者预后生存情况作出科学的估计，指导其采取各种干预措施，对提高肺癌的生存率有着积极意义；对疑有肺癌的患者可定量地估计其患病危险性，使其进一步采取相应的检查措施、定诊或随访观察。
In order to improve the early diagnosis of lung cancer, the expert’s experience is applied to the logical comprehensive analysis and combined with the early indicators at the molecular level. Through clinical case analysis and combining the literature, more than 30 conditions are sorted out, and the experience of the experts is combined to form a database for the input conditions. In the process, the use of computer technology to establish a self-learning feedback system, the establishment of a more complete patient file and a complete set of query systems, to maximize the use of information. For lung cancer patients, the expert system can make a scientific estimate of the prognosis of the patients, guide them to adopt various intervention measures, and have positive significance for improving the survival rate of lung cancer; the patients suspected of having lung cancer can be quantitatively estimated to be at risk of the disease. Sex, to further take appropriate inspection measures, scheduled diagnosis or follow-up observation.