Cancer Diagnosis by Neural Network Analysis of Data from Semiconductor Sensors.
作者信息
Chernov Vladimir I, Choynzonov Evgeniy L, Kulbakin Denis E, Obkhodskaya Elena V, Obkhodskiy Artem V, Popov Aleksandr S, Sachkov Victor I, Sachkova Anna S
机构信息
Tomsk National Research Medical Center of the Russian Academy of Sciences, Cancer Research Institute, 5 Kooperativny Street, 634009 Tomsk, Russia.
Laboratory of Chemical Technologies, National Research Tomsk State University, 36 Lenin Avenue, 634050 Tomsk, Russia.
出版信息
Diagnostics (Basel). 2020 Sep 5;10(9):677. doi: 10.3390/diagnostics10090677.
"Electronic nose" technology, including technical and software tools to analyze gas mixtures, is promising regarding the diagnosis of malignant neoplasms. This paper presents the research results of breath samples analysis from 59 people, including patients with a confirmed diagnosis of respiratory tract cancer. The research was carried out using a gas analytical system including a sampling device with 14 metal oxide sensors and a computer for data analysis. After digitization and preprocessing, the data were analyzed by a neural network with perceptron architecture. As a result, the accuracy of determining oncological disease was 81.85%, the sensitivity was 90.73%, and the specificity was 61.39%.
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