Predictive models for COVID-19 detection using routine blood tests and machine learning.
Heliyon
; 8(10): e11185, 2022 Oct.
Article
in English
| MEDLINE | ID: covidwho-2082561
ABSTRACT
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.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Prognostic study
Language:
English
Journal:
Heliyon
Year:
2022
Document Type:
Article
Affiliation country:
J.heliyon.2022.e11185
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