Predictive models for COVID-19 detection using routine blood tests and machine learning
The problem of accurate, fast, and inexpensive COVID-19 tests has been urgent till now. Standard COVID-19 tests need high-cost reagents and specialized laboratories with high safety requirements, are time-consuming. Data of routine blood tests as a base of SARS-CoV-2 invasion detection allows using...
| Опубликовано в: : | Heliyon Vol. 8, № 10. P. e11185 (1-11) |
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| Другие авторы: | , , , |
| Формат: | Статья в журнале |
| Язык: | English |
| Предметы: | |
| Online-ссылка: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000998060 Перейти в каталог НБ ТГУ |
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| 024 | 7 | |a 10.1016/j.heliyon.2022.e11185 |2 doi | |
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| 040 | |a RU-ToGU |b rus |c RU-ToGU | ||
| 245 | 1 | 0 | |a Predictive models for COVID-19 detection using routine blood tests and machine learning |c Y. V. Kistenev, D. A. Vrazhnov, E. E. Shnaider, H. Zuhayri |
| 336 | |a Текст | ||
| 337 | |a электронный | ||
| 504 | |a Библиогр.: 88 назв. | ||
| 520 | 3 | |a The problem of accurate, fast, and inexpensive COVID-19 tests has been urgent till now. Standard COVID-19 tests need high-cost reagents and specialized laboratories with high safety requirements, are time-consuming. Data of routine blood tests as a base of SARS-CoV-2 invasion detection allows using the most practical medicine facilities. But blood tests give general information about a patient's state, which is not directly associated with COVID-19. COVID-19-specific features should be selected from the list of standard blood characteristics, and decision-making software based on appropriate clinical data should be created. This review describes the abilities to develop predictive models for COVID-19 detection using routine blood tests and machine learning. | |
| 653 | |a COVID-19 | ||
| 653 | |a рутинные анализы крови | ||
| 653 | |a машинное обучение | ||
| 655 | 4 | |a статьи в журналах |9 879358 | |
| 700 | 1 | |a Kistenev, Yury V. |9 99223 | |
| 700 | 1 | |a Vrazhnov, Denis A. |9 106039 | |
| 700 | 1 | |a Shnaider, Ekaterina E. |9 878720 | |
| 700 | 1 | |a Zuhayri, Hala |9 799268 | |
| 773 | 0 | |t Heliyon |d 2022 |g Vol. 8, № 10. P. e11185 (1-11) |x 2405-8440 | |
| 852 | 4 | |a RU-ToGU | |
| 856 | 4 | |u http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000998060 | |
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| 908 | |a статья | ||
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