Clinical chemistry analyte values used for deriving indirect reference intervals

Published: 19 August 2025| Version 1 | DOI: 10.17632/hcdrxmkndm.1
Contributor:
Veera Nadarajan

Description

The file contains a sample of the dataframe that was used for establishing indirect reference intervals using a machine learning approach. The data consists of 847,921 results of 29 different chemistry analytes, obtained from 17,472 patients over a period of 34 weeks.

Files

Steps to reproduce

The analysis pipeline has been submitted for publication and awaiting review.

Institutions

  • Universiti Malaya
  • Universiti Tunku Abdul Rahman

Categories

Laboratory Medicine, Laboratory Information System

Licence