Device and system for processing data for identifying lung cancer tissues

Abstract

The invention discloses a device and a system for processing data for identifying lung cancer tissues. The system comprises a sampling module and a classifying module. A processor of the device is used for executing the following steps of obtaining lung tissue sample mass spectrum data corresponding to a to-be-detected lung tissue sample; classifying and processing the obtained lung tissue sample mass spectrum data by a lung cancer tissue identifying model which is established by a random forest algorithm, so as to obtain the classifying result of the to-be-detected lung tissue sample. The system has the advantages that under the conditions of no sample pretreatment, common temperature and common pressure, the tissue samples of lung cancer and health lung cancer can be directly identified; the operation is simple, the analyzing speed is high, the accuracy is high, and the like; the huge potential application prospect is realized in the related technical fields of serious diseases, clinical medicines, life safety and the like; the device and the system for processing the data for identifying the lung cancer tissues can be widely applied to the technical field of identifying of the lung cancer tissue data.

Description

technical field [0001] The invention relates to data identification and processing technology, in particular to a data processing device and system for identifying lung cancer tissue based on a random forest model. Background technique [0002] Lung cancer is currently the malignant tumor that poses the greatest threat to human health and life. At present, with the rapid economic growth and the increasingly serious environmental pollution, the morbidity and mortality of lung cancer are also increasing rapidly. Early detection, early diagnosis, and early treatment are the key ways to effectively reduce the mortality rate of lung cancer and improve the survival period of patients. Traditional lung cancer identification methods include imaging examination methods, sputum exfoliation cytology examination and bronchoscopy techniques. These methods are prone to misdiagnosis and misdiagnosis, the operation is relatively complicated, and the equipment is expensive, so they are not ...

AI Technical Summary

Problems solved by technology

Traditional lung cancer identification methods include imaging examination methods, sputum exfoliation cytology examination and bronchoscopy techniques. These methods are prone to misdiagnosis and misdiagnosis, the operation is relatively complicated, and the equipment is expensive, so they are not suitable as an early information identification screen for lung cancer. check means

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