Work

Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study

Year: 2020

Type: article

Study design: Observational Study

Source: Journal of Medical Systems

DOI: 10.1007/s10916-020-01597-4

Authors: Davide Brinati, Andrea Campagner, Davide Ferrari, Massimo Locatelli, Giuseppe Banfi, Federico Cabitza

Institutions: University of Milano-Bicocca, University of Parma, IRCCS Ospedale San Raffaele, IRCCS Ospedale Galeazzi - Sant'Ambrogio

Language: English

Topic: COVID-19 Clinical Research Studies

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: National Natural Science Foundation of China

Award: G1064288964

OpenAlex ID: W3038925693

FWCI: 10.22

Cites: 52

Cited by: 382

Related to: 10