Home ›
Entities
› academia
› Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression
Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression
Research article (Computers in Biology and Medicine, 2021) · cited 11× · AI/ML
Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression
Summary
Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression is a scholarly article[1].
Key Facts
Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression. Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-intelligence-approach-towards-assessment-of-condition-of-covid-19-patients-identification-of-predictive-bioma
MLA“Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-intelligence-approach-towards-assessment-of-condition-of-covid-19-patients-identification-of-predictive-bioma.
BibTeX@misc{4ortxyz_artificial-intelligence-approach-towards-assessment-of-condition-of-covid-19-patients-identification-of-predictive-bioma_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-intelligence-approach-towards-assessment-of-condition-of-covid-19-patients-identification-of-predictive-bioma}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression — https://4ort.xyz/entity/artificial-intelligence-approach-towards-assessment-of-condition-of-covid-19-patients-identification-of-predictive-bioma (retrieved 2026-05-24)
