A new approach to assessing calcium status via a machine learning algorithm-Reference-Cited by-同舟云学术

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A new approach to assessing calcium status via a machine learning algorithm

Published:2023-01 Issue: Volume:539 Page:198-205
ISSN:0009-8981
Container-title:Clinica Chimica Acta
language:en
Short-container-title:Clinica Chimica Acta

Author:

Bancal Candice,Salipante Florian,Hannas Nassim,Lumbroso Serge,Cavalier Etienne,De Brauwere David-Paul

Publisher

Elsevier BV

Subject

Biochemistry (medical),Clinical Biochemistry,Biochemistry,General Medicine

Reference32 articles.

1. Electrolyte quintet : Calcium [review];Bushinsky;Lancet,1998

2. Accuracy of methods to estimate ionized and « corrected » serum calcium concentrations in critically ill multiple trauma patients receiving specialized nutrition support;Dickerson;J. Parenter. Enteral Nutr.,2004

3. Use of gel filtration to examine the distribution of calcium among serum proteins;Toffaletti;Clin. Chem.,1977

4. Separation and quantification of serum constituents associated with calcium by gel filtration;Toffaletti;Clin. Chem.,1976

5. It is time to start ordering ionized calcium more frequently: preanalytical factors can be controlled and postanalytical data justify measurement [Editorial];Glendenning;Ann. Clin. Biochem.,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A New Machine Learning Approach for Actual Calcium Measurement;Indian Journal of Clinical Biochemistry;2024-02-02

2. Machine learning-based clinical decision support using laboratory data;Clinical Chemistry and Laboratory Medicine (CCLM);2023-11-29

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