Work

Comparing conventional correction formulas and machine learning-based prediction of ionized calcium

Year: 2026

Type: article

Study design: Observational Study

Source: Clinica Chimica Acta

DOI: 10.1016/j.cca.2026.121205

Authors: Arzu Kösem, Ali Öter, Şeref Sağıroğlu, Sevilay Sezer, Canan Topçuoğlu, Gülsen Yılmaz

Institutions: Ministry of Health, Ankara Etlik City Hospital, Kahramanmaraş Sütçü İmam University, Gazi University, Ankara Yıldırım Beyazıt University

Language: English

Topic: Clinical Laboratory Practices and Quality Control

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7166797039

FWCI: 4.622

Cites: 11

Cited by: 1

Related to: 10