Work

Additional file 1 of Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis

Year: 2020

Type: review

Abstract: Additional file 1 : Table S1. Correlation Results between All Pairs of Variables.

Source: Figshare

DOI: 10.6084/m9.figshare.13023729

Authors: Li, Wei Tse, Ma, Jiayan, Shende, Neil, Castaneda, Grant, Chakladar, Jaideep, Tsai, Joseph C., Apostol, Lauren, Honda, Christine O., Xu, Jingyue, Wong, Lindsay M., Zhang, Tianyi, Lee, Abby, Gnanasekar, Aditi, Honda, Thomas K., Kuo, Selena Z., Yu, Michael Andrew, Chang, Eric Y., Rajasekaran, Mahadevan “ Raj”, Ongkeko, Weg M.

Institutions: University of California San Diego, VA San Diego Healthcare System, Columbia University Irving Medical Center, Emory University

Language: English

Topic: COVID-19 diagnosis using AI

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4394483665

FWCI:

Cites: 6

Cited by:

Related to: 10