| 000 | 03542nlm1a2200505 4500 | ||
|---|---|---|---|
| 001 | 663483 | ||
| 005 | 20231030041856.0 | ||
| 035 | _a(RuTPU)RU\TPU\network\34653 | ||
| 035 | _aRU\TPU\network\34651 | ||
| 090 | _a663483 | ||
| 100 | _a20210216a2020 k y0engy50 ba | ||
| 101 | 0 | _aeng | |
| 135 | _adrcn ---uucaa | ||
| 181 | 0 | _ai | |
| 182 | 0 | _ab | |
| 200 | 1 |
_aCancer Diagnosis by Neural Network Analysis of Data from Semiconductor Sensors _fV. I. Chernov, E. L. Choynzonov, D. E. Kulbakin [et al.] |
|
| 203 |
_aText _celectronic |
||
| 300 | _aTitle screen | ||
| 320 | _a[References: 43 tit.] | ||
| 330 | _a“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%. | ||
| 461 | _tDiagnostics | ||
| 463 |
_tVol. 10, iss. 9 _v[677, 11 p.] _d2020 |
||
| 610 | 1 | _aэлектронный ресурс | |
| 610 | 1 | _aтруды учёных ТПУ | |
| 610 | 1 | _amalignant neoplasm | |
| 610 | 1 | _aclassification | |
| 610 | 1 | _aelectronic nose | |
| 610 | 1 | _aneural network | |
| 610 | 1 | _ametal oxide semiconductor sensor | |
| 610 | 1 | _agas analyzer | |
| 610 | 1 | _aзлокачественные новообразования | |
| 610 | 1 | _aнейронные сети | |
| 610 | 1 | _aгазоанализаторы | |
| 701 | 1 |
_aChernov _bV. I. _cspecialist in the field of medical technology _clead engineer of Tomsk Polytechnic University, doctor of medical sciences _f1962- _gVladimir Ivanovich _2stltpush _3(RuTPU)RU\TPU\pers\34191 |
|
| 701 | 1 |
_aChoynzonov _bE. L. _cphysicist _cchief expert of Tomsk Polytechnic University _f1952- _gEvgeny Lkhamatsyrenovich _2stltpush _3(RuTPU)RU\TPU\pers\34575 |
|
| 701 | 1 |
_aKulbakin _bD. E. _gDenis Evgenjevich |
|
| 701 | 1 |
_aObkhodskaya _bE. V. _gElena Vladimirovna |
|
| 701 | 1 |
_aObkhodskiy _bA. V. _cspecialist in the field of nuclear power engineering _cAssociate Professor of Tomsk Polytechnic University, Candidate of technical science _f1982- _gArtem Viktorovich _2stltpush _3(RuTPU)RU\TPU\pers\32672 |
|
| 701 | 1 |
_aPopov _bA. S. _cphysicist _cDesign Engineer of Tomsk Polytechnic University _f1992- _gAleksandr Sergeevich _2stltpush _3(RuTPU)RU\TPU\pers\38306 |
|
| 701 | 1 |
_aSachkov _bV. I. _cchemist _cAssociate Professor of Tomsk Polytechnic University, Candidate of chemical sciences _f1978- _gViktor Ivanovich _2stltpush _3(RuTPU)RU\TPU\pers\34320 |
|
| 701 | 1 |
_aSachkova _bA. S. _cbiologist _cAssociate Professor of Tomsk Polytechnic University, candidate of biological sciences _f1986- _gAnna Sergeevna _2stltpush _3(RuTPU)RU\TPU\pers\36753 |
|
| 712 | 0 | 2 |
_aНациональный исследовательский Томский политехнический университет _bИнженерная школа ядерных технологий _bОтделение ядерно-топливного цикла _h7864 _2stltpush _3(RuTPU)RU\TPU\col\23554 |
| 801 | 2 |
_aRU _b63413507 _c20210216 _gRCR |
|
| 856 | 4 | _uhttps://doi.org/10.3390/diagnostics10090677 | |
| 942 | _cCF | ||