An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: Development and validation study.

Lin, Ju-Kuo; Chien, Tsair-Wei; Wang, Lin-Yen; Chou, Willy

Lin, Ju-Kuo; Chien, Tsair-Wei; Wang, Lin-Yen; Chou, Willy.

Lin JK; Department of Ophthalmology, Chi-Mei Medical Center, Yong Kang, Tainan City, Taiwan.
Chien TW; Department of Optometry, Chung Hwa University of Medical Technology, Jen-Teh, Tainan City, Taiwan.
Wang LY; Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan.
Chou W; Department of Pediatrics, Chi-Mei Medical Center, Tainan, Taiwan.

Medicine (Baltimore) ; 100(28): e26532, 2021 07 16.

Article in English | MEDLINE | ID: covidwho-2191027

Subject(s)

COVID-19/blood; COVID-19/mortality; Hospitalization; Neural Networks, Computer; Biomarkers/blood; China/epidemiology; Female; Humans; Male; Predictive Value of Tests; Prognosis; Republic of Korea/epidemiology; SARS-CoV-2

Fulltext

XML

PubMed Links

Search on Google

Full text: Available Collection: International databases Database: MEDLINE Main subject: Neural Networks, Computer / COVID-19 / Hospitalization Type of study: Observational study / Prognostic study Limits: Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Medicine (Baltimore) Year: 2021 Document Type: Article Affiliation country: MD.0000000000026532

Similar

MEDLINE

LILACS

LIS

Fulltext

XML

PubMed Links

Search on Google