Neural network classification software for the gas analytical survey data of respiratory system
An algorithm and neural network architecture are proposed for classifying signal patterns generated in devices for analyzing the composition of a gas mixture in exhaled air. The devices use a set of non-selective semiconductor gas sensors synchronized with each other and operating in the thermal cycling mode. The implemented algorithm and neural network provide for the normalization of signal values simultaneously from the entire set of sensors and the differentiation of signal patterns. The software package is implemented in the C++ algorithmic programming language in the Qt environment and allows for additional training of the neural network by integrating tools from the database management system and neural network data analysis when increasing the database volume. The studies used data from exhaled air samples taken from healthy volunteers and patients with squamous cell carcinoma of the larynx and oropharynx. The obtained sensitivity and specificity indicators of the neural network data classifier are comparable with modern high-precision X-ray methods for diagnosing respiratory tract tumors. Contribution of the authors: the authors contributed equally to this article. The authors declare no conflicts of interests.
Keywords
software package,
data classification,
artificial neural network,
training parameters,
classifier efficiency analysisAuthors
| Obkhodskiy Artem V. | Tomsk Polytechnic University | art707@yandex.ru |
| Kulbakin Denis E. | Cancer Research Institute – branch of the Tomsk National Research Medical Center of the Russian Academy of Science | kulbakin_d@mail.ru |
| Obkhodskaya Elena V. | Tomsk State University | fil330a@yandex.ru |
| Popov Aleksandr S. | Tomsk State University | asptomsktpu@gmail.com |
| Rodionov Evgeniy O. | Cancer Research Institute – branch of the Tomsk National Research Medical Center of the Russian Academy of Science; Siberian State Medical University | rodionov_eo@oncology.tomsk.ru |
| Sachkov Victor I. | Tomsk State University | vicsachkov@gmail.com |
| Chernov Vladimir I. | Cancer Research Institute – branch of the Tomsk National Research Medical Center of the Russian Academy of Science | chernov@tnimc.ru |
| Choynzonov Evgeny L. | Cancer Research Institute – branch of the Tomsk National Research Medical Center of the Russian Academy of Science; Siberian State Medical University | choynzonov@tnimc.ru |
Всего: 8
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