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Table 1 Socio-demographic factors of eleven patient groups for two health conditions: diabetes and depressiona

From: Combinational Regularity Analysis (CORA) — a new method for uncovering complex causation in medical and health research

Patient Group

Inputs

Outputs

 

g

i

f

m

a

e

\(p_{1}\)

1

0

1

1

1

1

\(p_{2}\)

1

0

1

0

1

1

\(p_{3}\)

0

1

0

0

0

0

\(p_{4}\)

0

0

1

1

1

1

\(p_{5}\)

1

1

1

0

1

1

\(p_{6}\)

1

1

1

1

1

1

\(p_{7}\)

1

0

0

1

0

1

\(p_{8}\)

0

1

1

0

1

1

\(p_{9}\)

0

0

0

0

1

1

\(p_{10}\)

0

0

0

1

0

1

\(p_{11}\)

0

1

0

1

0

1

  1. a g = gender (1: male / 0: female); i = income (1: high / 0: low); f = family history (1: yes / 0: no); m = marital status (1: married / 0: single); a = diabetes (1: yes / 0: no); e = depression (1: yes / 0: no)