Table 5 Training statistics for e_inc_tbhiv_100k.

From: A comparative study on TB incidence and HIVTB coinfection using machine learning models on WHO global TB dataset

Variable

mean

stdn

mino

25%p

50%q

75%r

maxs

e_inc_tbhiv_100kt

3.3 × 10− 17

1.0

-0.33

-0.33

-0.30

0.002

11.91

e_pop_numh

3.5 × 10− 17

1.0

-0.25

-0.25

-0.21

-0.09

10.41

e_tbhiv_prcti

3.4 × 10− 17

1.0

-0.78

-0.68

-0.30

0.10

5.51

e_mort_100kj

-7.7 × 10− 17

1.0

-0.48

-0.46

-0.39

-0.05

9.48

cfrk

5.4 × 10− 17

1.0

-1.23

-0.63

-0.33

0.42

6.28

c_newinc_100kl

-4.4 × 10− 17

1.0

-0.72

-0.61

-0.32

0.17

8.35

c_cdrm

2.1 × 10− 16

1.0

-3.90

-0.60

0.36

0.74

8.90

  1. Table shows training statistics e_inc_tbhiv_100k variables using WHO TB burden dataset published in 2023.
  2. t Estimated rate of all forms of TB cases who are HIV seropositive per 100,000 population, h Estimated total population number, i Estimated HIV in incident TB (per cent), j Estimated mortality of TB cases (all forms) per 100,000 population, k Estimated TB case fatality ratio, l Case notification rate per 100,000 population, m Case detection rate (all forms), per cent, n Standard Deviation, o minimum, p First Quartile (Q1), q Median (Q2), r Third Quartile (Q3), s maximum.
Back to article page