Cancer Diagnosis by Neural Network Analysis of Data from Semiconductor Sensors; Diagnostics; Vol. 10, iss. 9

Bibliografske podrobnosti
Parent link:Diagnostics
Vol. 10, iss. 9.— 2020.— [677, 11 p.]
Korporativna značnica: Национальный исследовательский Томский политехнический университет Инженерная школа ядерных технологий Отделение ядерно-топливного цикла
Drugi avtorji: Chernov V. I. Vladimir Ivanovich, Choynzonov E. L. Evgeny Lkhamatsyrenovich, Kulbakin D. E. Denis Evgenjevich, Obkhodskaya E. V. Elena Vladimirovna, Obkhodskiy A. V. Artem Viktorovich, Popov A. S. Aleksandr Sergeevich, Sachkov V. I. Viktor Ivanovich, Sachkova A. S. Anna Sergeevna
Izvleček:Title screen
“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%.
Jezik:angleščina
Izdano: 2020
Teme:
Online dostop:https://doi.org/10.3390/diagnostics10090677
Format: Elektronski Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663483

Podobne knjige/članki