Method for constructing pulmonary nodule computer-aided detection model

• Main Authors: LIU XIAOJUN, TAO TAO, ZHANG WEI, YIN TONG
• Format: Patent
• Language: Chinese; English
• Published: 21.02.2020
• Subjects: BEER; BIOCHEMISTRY; CHEMISTRY; COMPOSITIONS OR TEST PAPERS THEREFOR; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES; ENZYMOLOGY; MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS; METALLURGY; MICROBIOLOGY; MUTATION OR GENETIC ENGINEERING; PROCESSES OF PREPARING SUCH COMPOSITIONS; SPIRITS; VINEGAR; WINE

The present invention discloses a method for constructing a pulmonary nodule computer-aided detection model. The method comprises the following steps: obtaining bronchial epithelial cells of a subjectand extracting RNA; constructing a double-stranded cDNA library according to the RNA and conducting sequencing; comparing a sequencing result with a reference genome and selecting a differential significant gene and a differential significant variation of the subject; using a vector formed by combining the differential significant gene and the differential significant variation, and benign and malignant pulmonary nodules as sample data; randomly dividing the sample data of the subject into a training set and a prediction set and carrying out multiple times of training on the training set andthe prediction set on the basis of a support vector machine model adopting a radial basis kernel function to obtain a model output value of the prediction set; and carrying out non-dimensionalizationon clinical data and CT ima