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Table 1 Sociodemographic characteristics and disease family history of T2DM in-patients seeking health care at the Ho Teaching Hospitals

From: Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?

Variable

n(%)

*Age(years)

58.61 ± 14.64

Sex

 

Male

145(44.21)

Female

183(55.79)

Marital Status

 

Single

73(22.26)

Married

221(67.38)

Widowed

28(8.54)

Divorced

6(1.83)

Location

 

Urban

187(57.01)

Rural

141(42.99)

Occupation

 

Unemployed

49(14.94)

Informal

174(53.05)

Formal

56(17.07)

Retired

49(14.94)

Educational Level

 

None

45(13.72)

Primary

132(40.24)

Secondary

55(16.77)

Tertiary

96(29.27)

Family history

 

Diabetes

54(16.48)

Cardiovascular diseases

67(20.43)

Asthma

5(1.52)

Cardiovascular diseases & Diabetes

34(10.37)

Cardiovascular diseases, Diabetes & Asthma

1(0.30)

Lifestyle History

 

Current Alcoholic

65(19.82)

Current Smoker

20(6.10)

  1. Data are presented as frequencies and percentages. * is presented as mean ± Standard Deviation