Target association rule mining to explore novel paediatric illness patterns in emergency settings-Reference-Cited by-同舟云学术

Target association rule mining to explore novel paediatric illness patterns in emergency settings

Published:2022-11-18 Issue:7-8 Volume:82 Page:595-600
ISSN:0036-5513
Container-title:Scandinavian Journal of Clinical and Laboratory Investigation
language:en
Short-container-title:Scandinavian Journal of Clinical and Laboratory Investigation

Author:

Dabla Pradeep Kumar¹²,Upreti Kamal³,Singh Divakar⁴,Singh Anju⁵,Sharma Jitender¹,Dabas Aashima⁶,Gruson Damien²⁷^ORCID,Gouget Bernard²⁸,Bernardini Sergio²⁹,Homsak Evgenija²¹⁰,Stankovic Sanja²¹¹

Affiliation:

1. Department of Biochemistry, G. B. Pant Institute of Postgraduate Medical Education and Research (GIPMER), Associated Maulana Azad Medical College, New Delhi, India

2. Emerging Technologies Division and MHBLM Committee, International Federation Clinical Chemistry and Laboratory Medicine (IFCC), Milano, Italy

3. Dr. Akhilesh Das Gupta Institute of Technology and Management, New Delhi, India

4. Barkatullah University Institute of Technology, Barkatullah University, Bhopal, India

5. Sage University, Bhopal, India

6. Department of Pediatrics, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi, India

7. Department of Clinical Biochemistry, CliniquesUniversitaires St-Luc and UniversitéCatholique de Louvain, Brussels, Belgium

8. Healthcare Division Committee, ComitéFrançaisd’accréditation (COFRAC), National Committee for the selection of Reference Laboratories, Ministry of Health, Paris, France

9. Department of Experimental Medicine, University of Tor Vergata, Rome, Italy

10. Department for Laboratory Diagnostics, University Clinical Center Maribor, Maribor, Slovenia

11. Center for Medical Biochemistry, Clinical Center of Serbia, Belgrade, Serbia

Publisher

Informa UK Limited

Subject

Clinical Biochemistry,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/00365513.2022.2148121

Reference34 articles.

1. Study of association of mortality with electrolyte abnormalities in children admitted in pediatric intensive care unit

2. Acid–base and electrolyte analysis in critically ill patients: are we ready for the new millennium?

3. Understanding and managing acute fluid and electrolyte disturbances

4. General characteristics of patients with electrolyte imbalance admitted to emergency department

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