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Table 1 Vector of 22 features for individualising virtual patients

From: Generation of digital patients for the simulation of tuberculosis with UISS-TB

Feature

Range

Units

Type

Notation

Bacterial load in sputum

[0–10000]

CFU

D

MtbSputum

MTB virulence

[0–1]

C

strain

CD4 T cell type 1

[0–100]

\(\hbox {cells}/\upmu \hbox {L}\)

D

Th1

CD4 T cell type 2

[0–100]

\(\hbox {cells}/\upmu \hbox {L}\)

D

Th2

Specific IgG titers

[0–512]

IgG titer

C

IGg

CD8 T cell

[0–1134]

\(\hbox {cells}/\upmu \hbox {L}\)

D

TC

Interleukin 1

[0–235]

pg/mL

C

IL1

Interleukin 2

[0–894]

pg/mL

C

IL2

Interleukin 10

[0–516]

pg/mL

C

IL10

Interleukin 12

[0–495]

pg/mL

C

IL12

Interleukin 17

[0–704]

pg/mL

C

IL17

Interleukin 23

[0–800]

pg/mL

C

IL23

Interferon-\(\alpha\)

[0–148.4]

pg/mL

C

IFN1A

Interferon-\(\beta\)

[0–206]

pg/mL

C

IFN1B

Interferon-\(\gamma\)

[0–268.2]

pg/mL

C

IFng

TNF-

[0–49.4]

pg/mL

C

TFN

LXA4

[0–3]

ng/mL

C

LXA4

PGE2

[0–2.1]

ng/mL

C

pgE2

Vitamin D

[25–80]

ng/mL

C

VD

Regulatory T cells

[0–200]

\(\hbox {cells}/\upmu \hbox {L}\)

D

Treg

Age

[10–80]

years

D

Age

Body Mass Index

[18.5–35]

\(\hbox {kg}/\hbox {m}^{2}\)

C

BMI

  1. Type (Discrete or Continuous), relative range with units of measure and notation used in the paper