TB Research

ALBI scores of patients derived from published literature on Melioidosis, Tuberculosis, Scrub Typhus, Enteric fever, Viral Hepatitis useful in machine learning

K Sriram, PANDEY APOORVA, SINGH SUCHITA, EARNY ABHIRAM VENKAT, CHOWDHURY SOUMI, ASHIQ MOHAMMED, Vandana KE, Chiranjay Mukhopadhyay, et al. (9 authors)

Harvard Dataverse · 2023-04

Abstract

The purpose of this dataset is to compare literature search derived ALBI score of melioidosis patients to that of tuberculosis, scrub typhus, enteric fever and viral hepatitis patients. The scope of this dataset is that it could aid in machine learning. Nature of this dataset: it is a purposive review data based on maximum extractable ALBI value for Melioidosis with search words "Albumin, Bilirubin, Melioidosis" and equivalent extraction for the other four diseases with search words "Albumin, Bilirubin, Scrub Typhus", "Albumin, Bilirubin, Hepatitis", "Albumin, Bilirubin, Tuberculosis", "Albumin, Bilirubin, Enteric Fever" with Google Scholar as search engine since PubMed yielded zero results only for Melioidosis with search words "Albumin, Bilirubin, Melioidosis".

MeSH terms

  • Enteric fever
  • Scrub typhus
  • Typhus
  • Medicine
  • Tuberculosis
  • Virology
  • Melioidosis
  • Viral hepatitis
  • Hepatitis