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Table 1 Summary of the data sets

From: On usage of artificial intelligence for predicting mortality during and post-pregnancy: a systematic review of literature

Work

Location

Number of records

Number of attributes

Attributes used for training

Attribute selection

Balancing

Missing data

Valter et al. [29]

Brazil

6241

27

26

Yes

The data set is balanced

Yes

Hajipour et al. [32]

Iran

2386

Not described

16

Not specified

The data set is balanced

No

Saravanou et al. [30]

USA

12,000,000

128

128; 2; 1; 1

No

The original data set is imbalanced, but it was balanced

No

Baker et al. [20]

Israel

2751

Not described

17

No

The original data set is imbalanced, but it was balanced

No

Cerqueira et al. [21]

Brazil

293

114

4

Yes

The data set is imbalanced

No

Shukla et al. [10]

India; Pakistan; Congo; Zambia; Kenya; Guatemala

588,272

Not described

31

Yes

The data set is imbalanced

Yes

Malacova et al. [14]

Australia

960,745

Not described

Not described

Not specified

The data set is imbalanced

No

Sheikhtaheri et al. [22]

Iran

1762

Not described

17

Yes

The original data set is imbalanced, but it was balanced

Yes

Podda, et al. [25]

Italy

29,557

Not described

13

Yes

The data set is imbalanced

Yes

Batista et al. [31]

Brazil

1,135,444

23

23

No

The data set is imbalanced

No

Jaskari et al. [26]

Finland

977

Not described

Not described

Yes

The original data set is imbalanced, but it was balanced

Yes

Mboya et al. [12]

Tanzania

42,319

32

20

Yes

The original data set is imbalanced, but it was balanced

Yes

AlShwaish et al. [33]

USA

172,278

Not described

Not described

Not specified

The original data set is imbalanced, but it was balanced

Yes

Sun et al. [23]

India

757

Not described

49

No

The original data set is imbalanced, but it was balanced

Yes

Koivu et al. [15]

USA

12,867,146

26

17; 14; 25

Yes

The data set is imbalanced

No

Lee et al. [27]

USA

31,287,801

Not described

34

No

The original data set is imbalanced, but it was balanced

Yes

Cooper et al. [28]

USA; Canada

6499

Not described

68

Yes

The data set is imbalanced

Yes

Hsu et al. [24]

Taiwan

1734

Not described

41

Not specified

The data set is imbalanced

Yes

  1. *Approximate value
  2. **When the work used a number of different attributes