Datasets:
id int64 | maternal_age int64 | parity int64 | gravidity int64 | education string | marital_status string | urban int64 | anc_visits int64 | anc_4plus int64 | antenatal_anaemia int64 | hb_at_delivery float64 | previous_caesarean int64 | previous_pph int64 | multiple_pregnancy int64 | pre_eclampsia int64 | hiv_positive int64 | malaria_in_pregnancy int64 | gestational_age int64 | skilled_birth_attendant int64 | birth_attendant_type string | place_of_delivery string | mode_of_delivery string | labour_duration_hours int64 | prolonged_labour int64 | obstructed_labour int64 | amtsl_given int64 | oxytocin_prophylaxis int64 | misoprostol_given int64 | pph int64 | pph_cause string | estimated_blood_loss_ml int64 | severe_pph int64 | eclampsia int64 | puerperal_sepsis int64 | uterine_rupture int64 | uterotonics_treatment int64 | uterine_massage int64 | manual_placenta_removal int64 | blood_transfusion int64 | surgical_intervention int64 | hysterectomy int64 | icu_admission int64 | referral_needed int64 | referral_completed int64 | referral_delay_hours int64 | maternal_death int64 | cause_of_death string | near_miss int64 | hospital_days int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 28 | 5 | 6 | secondary | married | 0 | 4 | 1 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | midwife | home | svd | 11 | 0 | 0 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
2 | 29 | 1 | 1 | tertiary | married | 0 | 1 | 0 | 1 | 8.3 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | none | hospital | svd | 4 | 0 | 0 | 1 | 1 | 0 | 1 | retained_placenta | 1,289 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | alive | 0 | 8 |
3 | 24 | 5 | 6 | primary | married | 1 | 2 | 0 | 1 | 8.2 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | doctor | hospital | svd | 3 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
4 | 29 | 4 | 5 | primary | married | 0 | 0 | 0 | 1 | 6.5 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 1 | midwife | hospital | assisted | 3 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
5 | 28 | 0 | 0 | secondary | married | 0 | 0 | 0 | 0 | 11.3 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | midwife | health_centre | svd | 45 | 1 | 0 | 0 | 0 | 0 | 1 | uterine_atony | 671 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
6 | 24 | 1 | 1 | secondary | single | 1 | 10 | 1 | 1 | 7.8 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 1 | doctor | hospital | svd | 4 | 0 | 0 | 1 | 0 | 1 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
7 | 24 | 2 | 3 | secondary | single | 0 | 3 | 0 | 0 | 9.4 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | tba | hospital | svd | 29 | 1 | 1 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 0 | alive | 0 | 3 |
8 | 19 | 0 | 1 | secondary | single | 1 | 0 | 0 | 0 | 9.3 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | tba | health_centre | svd | 5 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 6 |
9 | 18 | 10 | 10 | none | single | 0 | 1 | 0 | 0 | 8.4 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | midwife | hospital | svd | 15 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
10 | 25 | 7 | 7 | primary | married | 1 | 0 | 0 | 1 | 8.8 | 1 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | tba | hospital | svd | 3 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
11 | 34 | 0 | 2 | none | single | 0 | 6 | 1 | 0 | 10.4 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | tba | hospital | svd | 9 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
12 | 25 | 1 | 1 | primary | widowed | 0 | 2 | 0 | 1 | 9.2 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 1 | doctor | home | svd | 10 | 0 | 0 | 1 | 0 | 1 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
13 | 36 | 2 | 2 | tertiary | married | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 1 | nurse | hospital | svd | 4 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
14 | 28 | 6 | 6 | primary | married | 1 | 0 | 0 | 0 | 8.4 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | family_member | transit | svd | 10 | 0 | 0 | 0 | 0 | 0 | 1 | uterine_atony | 2,074 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | alive | 0 | 5 |
15 | 18 | 1 | 2 | none | divorced | 0 | 5 | 1 | 1 | 8.8 | 1 | 0 | 0 | 0 | 0 | 0 | 40 | 1 | midwife | hospital | svd | 51 | 1 | 1 | 0 | 0 | 0 | 1 | retained_placenta | 1,692 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | alive | 0 | 2 |
16 | 18 | 0 | 1 | secondary | divorced | 0 | 0 | 0 | 0 | 10.7 | 0 | 0 | 0 | 0 | 0 | 1 | 37 | 0 | tba | home | svd | 14 | 0 | 0 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
17 | 29 | 6 | 6 | primary | married | 1 | 0 | 0 | 1 | 7.2 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 1 | midwife | health_centre | svd | 5 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
18 | 24 | 0 | 0 | secondary | married | 0 | 6 | 1 | 0 | 10.9 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | midwife | hospital | svd | 2 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
19 | 15 | 10 | 10 | none | married | 1 | 2 | 0 | 0 | 13.6 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | midwife | hospital | svd | 4 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
20 | 35 | 1 | 1 | secondary | married | 0 | 0 | 0 | 1 | 7.8 | 1 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | nurse | health_centre | svd | 21 | 1 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
21 | 39 | 7 | 9 | primary | single | 1 | 0 | 0 | 1 | 9 | 0 | 0 | 0 | 0 | 1 | 0 | 40 | 1 | doctor | hospital | svd | 15 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
22 | 29 | 4 | 7 | secondary | single | 1 | 2 | 0 | 0 | 8.7 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | midwife | home | svd | 24 | 1 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 5 |
23 | 23 | 6 | 7 | none | married | 1 | 0 | 0 | 0 | 7.9 | 0 | 0 | 0 | 0 | 1 | 0 | 41 | 0 | tba | health_centre | svd | 2 | 0 | 0 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 7 |
24 | 24 | 2 | 2 | primary | single | 1 | 0 | 0 | 1 | 6.3 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | nurse | health_centre | svd | 5 | 0 | 0 | 1 | 1 | 0 | 1 | uterine_atony | 1,802 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 0 | alive | 0 | 15 |
25 | 23 | 3 | 3 | secondary | married | 1 | 1 | 0 | 1 | 12.1 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0 | none | home | svd | 7 | 0 | 0 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 15 |
26 | 22 | 3 | 3 | primary | married | 1 | 0 | 0 | 1 | 8.4 | 1 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | nurse | hospital | svd | 7 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
27 | 18 | 1 | 1 | primary | widowed | 1 | 6 | 1 | 0 | 10.1 | 1 | 0 | 0 | 1 | 0 | 1 | 35 | 1 | midwife | health_centre | svd | 41 | 1 | 1 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
28 | 20 | 1 | 1 | secondary | married | 0 | 3 | 0 | 1 | 9.5 | 0 | 0 | 1 | 0 | 1 | 0 | 36 | 1 | doctor | hospital | svd | 11 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
29 | 26 | 0 | 1 | none | single | 0 | 3 | 0 | 0 | 9.8 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | doctor | hospital | svd | 2 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
30 | 33 | 2 | 3 | primary | married | 1 | 3 | 0 | 0 | 9.2 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | nurse | home | svd | 28 | 1 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
31 | 29 | 0 | 0 | tertiary | single | 0 | 1 | 0 | 1 | 11.3 | 0 | 0 | 1 | 0 | 0 | 0 | 38 | 1 | midwife | health_centre | svd | 7 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
32 | 28 | 0 | 0 | secondary | married | 0 | 1 | 0 | 1 | 8.4 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | midwife | hospital | svd | 15 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
33 | 26 | 5 | 5 | tertiary | divorced | 0 | 0 | 0 | 1 | 10.4 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | nurse | health_centre | svd | 6 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
34 | 39 | 5 | 5 | primary | single | 1 | 2 | 0 | 0 | 9.1 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | nurse | home | svd | 7 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
35 | 29 | 3 | 4 | none | married | 1 | 1 | 0 | 1 | 9.8 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | none | health_centre | svd | 6 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 7 |
36 | 40 | 1 | 2 | none | widowed | 0 | 4 | 1 | 1 | 6.5 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | tba | health_centre | svd | 5 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
37 | 29 | 0 | 0 | secondary | single | 0 | 1 | 0 | 0 | 11.3 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | midwife | home | svd | 5 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
38 | 24 | 5 | 5 | primary | married | 0 | 6 | 1 | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | doctor | transit | svd | 4 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
39 | 29 | 0 | 1 | secondary | married | 0 | 2 | 0 | 1 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0 | none | transit | svd | 6 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
40 | 29 | 2 | 3 | primary | married | 0 | 2 | 0 | 1 | 8.4 | 0 | 0 | 0 | 0 | 0 | 1 | 38 | 0 | tba | hospital | svd | 8 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
41 | 27 | 6 | 6 | none | single | 1 | 1 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 1 | 39 | 0 | tba | health_centre | svd | 3 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
42 | 34 | 2 | 3 | secondary | married | 0 | 0 | 0 | 0 | 11.7 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 1 | doctor | home | svd | 4 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
43 | 34 | 1 | 1 | primary | single | 0 | 6 | 1 | 1 | 7.7 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | tba | health_centre | svd | 7 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
44 | 24 | 2 | 3 | primary | married | 0 | 7 | 1 | 1 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | midwife | health_centre | svd | 16 | 0 | 0 | 0 | 0 | 0 | 1 | uterine_atony | 819 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
45 | 33 | 8 | 8 | none | married | 1 | 5 | 1 | 1 | 6.9 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | midwife | hospital | svd | 4 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
46 | 19 | 4 | 4 | secondary | married | 0 | 0 | 0 | 0 | 11.1 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | doctor | hospital | svd | 4 | 0 | 0 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
47 | 24 | 3 | 3 | primary | married | 0 | 3 | 0 | 0 | 8.9 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | doctor | health_centre | svd | 6 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
48 | 24 | 0 | 0 | none | married | 0 | 0 | 0 | 0 | 6.7 | 0 | 0 | 0 | 0 | 1 | 0 | 36 | 0 | tba | health_centre | svd | 7 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
49 | 20 | 6 | 6 | primary | married | 0 | 4 | 1 | 0 | 6.3 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | midwife | home | svd | 4 | 0 | 0 | 1 | 0 | 1 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
50 | 28 | 0 | 0 | none | married | 1 | 8 | 1 | 0 | 10.6 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | midwife | hospital | svd | 2 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 6 |
51 | 19 | 0 | 0 | secondary | married | 0 | 4 | 1 | 0 | 9.6 | 0 | 0 | 0 | 1 | 0 | 0 | 38 | 1 | nurse | hospital | svd | 4 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 5 |
52 | 30 | 1 | 2 | tertiary | single | 0 | 2 | 0 | 1 | 5.9 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 1 | midwife | hospital | caesarean | 4 | 0 | 0 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
53 | 31 | 2 | 2 | secondary | married | 0 | 2 | 0 | 0 | 11.9 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | midwife | hospital | svd | 33 | 1 | 0 | 1 | 0 | 1 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 5 |
54 | 28 | 1 | 1 | tertiary | married | 0 | 1 | 0 | 1 | 6.4 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | nurse | health_centre | svd | 9 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
55 | 22 | 1 | 1 | secondary | married | 0 | 7 | 1 | 1 | 5.8 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0 | tba | hospital | svd | 7 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
56 | 28 | 0 | 0 | none | married | 0 | 0 | 0 | 0 | 10.5 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | midwife | health_centre | svd | 6 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
57 | 32 | 0 | 0 | secondary | widowed | 0 | 1 | 0 | 0 | 8.1 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 1 | midwife | health_centre | svd | 5 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
58 | 31 | 11 | 12 | primary | married | 1 | 3 | 0 | 0 | 7.3 | 0 | 0 | 0 | 0 | 1 | 0 | 38 | 0 | family_member | hospital | svd | 4 | 0 | 0 | 1 | 0 | 1 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
59 | 20 | 1 | 1 | primary | married | 0 | 2 | 0 | 1 | 6.3 | 0 | 1 | 0 | 0 | 1 | 0 | 38 | 0 | tba | hospital | svd | 9 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
60 | 29 | 1 | 1 | tertiary | married | 0 | 5 | 1 | 1 | 10.4 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | midwife | hospital | svd | 12 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
61 | 27 | 1 | 1 | tertiary | single | 0 | 0 | 0 | 1 | 10.1 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | nurse | health_centre | svd | 3 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
62 | 26 | 2 | 3 | secondary | widowed | 1 | 3 | 0 | 0 | 9.6 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 1 | midwife | transit | svd | 2 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
63 | 27 | 2 | 4 | primary | married | 0 | 3 | 0 | 1 | 6.2 | 0 | 0 | 0 | 1 | 0 | 0 | 39 | 1 | nurse | hospital | svd | 3 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
64 | 16 | 0 | 3 | secondary | married | 0 | 1 | 0 | 0 | 9.3 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 1 | midwife | transit | assisted | 7 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
65 | 38 | 0 | 0 | secondary | married | 0 | 5 | 1 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 1 | doctor | hospital | svd | 8 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
66 | 28 | 3 | 3 | secondary | widowed | 1 | 3 | 0 | 1 | 9.4 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | midwife | hospital | svd | 5 | 0 | 0 | 1 | 0 | 1 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
67 | 37 | 4 | 4 | primary | married | 0 | 0 | 0 | 1 | 8.6 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | midwife | hospital | svd | 33 | 1 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
68 | 29 | 2 | 2 | secondary | married | 0 | 1 | 0 | 0 | 11.4 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | family_member | health_centre | svd | 10 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 7 |
69 | 21 | 1 | 3 | primary | married | 0 | 1 | 0 | 0 | 10.3 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 1 | midwife | health_centre | svd | 2 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
70 | 22 | 0 | 1 | none | married | 0 | 3 | 0 | 1 | 10 | 0 | 0 | 0 | 1 | 0 | 0 | 38 | 1 | midwife | health_centre | svd | 5 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
71 | 31 | 0 | 0 | none | married | 0 | 1 | 0 | 0 | 7.7 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 1 | midwife | health_centre | svd | 2 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
72 | 30 | 12 | 12 | secondary | divorced | 0 | 11 | 1 | 0 | 10.8 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 1 | doctor | home | svd | 10 | 0 | 0 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
73 | 21 | 0 | 0 | secondary | married | 0 | 0 | 0 | 0 | 8.1 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 1 | midwife | hospital | svd | 13 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
74 | 19 | 6 | 6 | secondary | married | 1 | 0 | 0 | 0 | 10.7 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | midwife | health_centre | svd | 2 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
75 | 22 | 0 | 0 | primary | married | 1 | 0 | 0 | 0 | 10.3 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | none | hospital | svd | 6 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
76 | 30 | 2 | 3 | primary | married | 1 | 1 | 0 | 1 | 8.5 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 0 | tba | hospital | svd | 5 | 0 | 0 | 1 | 0 | 1 | 0 | none | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
77 | 24 | 1 | 4 | primary | married | 1 | 1 | 0 | 0 | 7.9 | 0 | 0 | 0 | 0 | 0 | 1 | 36 | 1 | midwife | health_centre | svd | 8 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 5 |
78 | 28 | 1 | 1 | none | married | 1 | 0 | 0 | 1 | 8 | 0 | 0 | 0 | 1 | 0 | 0 | 38 | 1 | midwife | hospital | svd | 2 | 0 | 0 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 6 |
79 | 28 | 3 | 4 | primary | single | 0 | 2 | 0 | 0 | 7.3 | 0 | 0 | 0 | 0 | 1 | 0 | 37 | 1 | nurse | hospital | svd | 5 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 6 |
80 | 27 | 0 | 0 | primary | married | 0 | 0 | 0 | 0 | 10.3 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | family_member | transit | svd | 4 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
81 | 43 | 1 | 1 | none | married | 0 | 0 | 0 | 0 | 9.9 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | midwife | hospital | svd | 9 | 0 | 0 | 1 | 0 | 1 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
82 | 21 | 5 | 6 | none | single | 1 | 3 | 0 | 1 | 9.4 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | midwife | hospital | svd | 6 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
83 | 27 | 5 | 5 | primary | single | 0 | 0 | 0 | 0 | 9.6 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 1 | doctor | hospital | svd | 20 | 1 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
84 | 20 | 0 | 3 | none | single | 0 | 1 | 0 | 1 | 6.6 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | midwife | transit | svd | 5 | 0 | 0 | 1 | 1 | 0 | 1 | retained_placenta | 565 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
85 | 19 | 0 | 0 | primary | single | 0 | 0 | 0 | 1 | 8.2 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | tba | hospital | svd | 2 | 0 | 0 | 1 | 0 | 1 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
86 | 27 | 2 | 2 | primary | married | 0 | 2 | 0 | 0 | 7.6 | 0 | 0 | 0 | 0 | 0 | 1 | 43 | 0 | tba | hospital | svd | 17 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
87 | 34 | 0 | 1 | none | married | 0 | 3 | 0 | 0 | 9.6 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 1 | midwife | hospital | svd | 41 | 1 | 0 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
88 | 27 | 8 | 8 | secondary | married | 0 | 2 | 0 | 1 | 8.2 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 1 | doctor | home | svd | 7 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 3 |
89 | 21 | 2 | 3 | primary | married | 1 | 2 | 0 | 1 | 9.7 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 1 | doctor | health_centre | svd | 12 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
90 | 31 | 3 | 3 | tertiary | married | 1 | 2 | 0 | 0 | 8.3 | 1 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | doctor | health_centre | svd | 6 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
91 | 18 | 4 | 4 | primary | married | 0 | 2 | 0 | 0 | 9.6 | 0 | 1 | 0 | 0 | 0 | 0 | 38 | 1 | midwife | hospital | svd | 5 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
92 | 28 | 0 | 0 | secondary | married | 0 | 0 | 0 | 0 | 13.9 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 1 | nurse | transit | svd | 10 | 0 | 0 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 9 |
93 | 26 | 0 | 0 | none | married | 0 | 1 | 0 | 0 | 9.3 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 1 | doctor | health_centre | svd | 17 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
94 | 27 | 3 | 3 | none | married | 0 | 0 | 0 | 1 | 7.4 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 1 | midwife | hospital | svd | 20 | 1 | 0 | 1 | 0 | 0 | 1 | uterine_atony | 1,600 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 5 |
95 | 37 | 2 | 2 | none | single | 1 | 1 | 0 | 1 | 7.9 | 0 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | midwife | home | svd | 6 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
96 | 26 | 0 | 0 | secondary | married | 0 | 2 | 0 | 0 | 9.3 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | none | home | svd | 27 | 1 | 1 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
97 | 40 | 0 | 0 | secondary | married | 0 | 1 | 0 | 0 | 11.9 | 0 | 0 | 0 | 0 | 0 | 0 | 39 | 0 | tba | home | svd | 8 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 5 |
98 | 17 | 2 | 2 | primary | married | 1 | 0 | 0 | 0 | 9.9 | 0 | 0 | 0 | 0 | 0 | 1 | 36 | 1 | doctor | health_centre | svd | 11 | 0 | 0 | 0 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 1 |
99 | 22 | 3 | 3 | none | married | 1 | 2 | 0 | 1 | 7.3 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 1 | midwife | home | svd | 4 | 0 | 0 | 1 | 0 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 2 |
100 | 28 | 1 | 1 | none | married | 0 | 0 | 0 | 0 | 9.1 | 1 | 0 | 0 | 0 | 0 | 0 | 38 | 1 | doctor | hospital | svd | 19 | 1 | 1 | 1 | 1 | 0 | 0 | none | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | alive | 0 | 4 |
Maternal Mortality & Postpartum Haemorrhage Dataset
Abstract
This dataset provides 30,000 simulated obstetric records (10,000 per scenario) from sub-Saharan Africa. Each record contains 45+ variables including ANC, labour, delivery, PPH (cause, severity, blood loss), management (uterotonics, transfusion, surgery), referral, and maternal outcomes. Three settings: CEmONC (0.20% mortality), BEmONC (0.73%), and community birth (2.25%).
1. Introduction
Postpartum haemorrhage (PPH), defined as blood loss ≥500ml within 24 hours after birth, accounts for >20% of all maternal deaths globally (WHO 2023). SSA has a maternal mortality ratio of ~545/100,000 live births. The leading direct causes are haemorrhage (25-35%), eclampsia (15-20%), sepsis (10-15%), and obstructed labour (8-10%). Active management of the third stage of labour (AMTSL) with oxytocin reduces PPH by ~60%, yet coverage remains low outside facilities.
This dataset is entirely simulated. It must not be used for clinical decision-making.
2. Methodology
2.1 Parameterization
| Parameter | Value | Source |
|---|---|---|
| PPH prevalence | 8-13% | WHO 2023 |
| PPH as cause of maternal death | 25-35% | PubMed 2021 |
| AMTSL reduces PPH | ~60% | WHO 2023 |
| MMR SSA | ~545/100K | WHO/UNICEF 2020 |
| Uterine atony causes 70% PPH | 70% | WHO 2012 |
| Substandard uterotonics | Common | BMJ 2024 |
2.2 Scenario Design
| Scenario | SBA | AMTSL | Blood Bank | Mortality |
|---|---|---|---|---|
| CEmONC (tertiary) | 95% | 85% | Yes | 0.20% |
| BEmONC (district) | 80% | 55% | Limited | 0.73% |
| Community birth | 20% | 10% | No | 2.25% |
3. Schema
| Column | Type | Description |
|---|---|---|
| id | int | Unique identifier |
| maternal_age | int | Mother's age |
| parity | int | Previous deliveries |
| anc_visits | int | ANC visit count |
| antenatal_anaemia | binary | Anaemia in pregnancy |
| hb_at_delivery | float | Haemoglobin at delivery |
| skilled_birth_attendant | binary | SBA present |
| place_of_delivery | categorical | hospital / health_centre / home / transit |
| mode_of_delivery | categorical | svd / assisted / caesarean |
| amtsl_given | binary | AMTSL performed |
| oxytocin_prophylaxis | binary | Oxytocin given |
| pph | binary | PPH (≥500ml) |
| severe_pph | binary | Severe PPH (≥1000ml) |
| pph_cause | categorical | uterine_atony / retained_placenta / genital_trauma / coagulopathy |
| estimated_blood_loss_ml | int | Blood loss in ml |
| eclampsia | binary | Eclampsia |
| puerperal_sepsis | binary | Puerperal sepsis |
| blood_transfusion | binary | Transfusion given |
| surgical_intervention | binary | Surgery performed |
| referral_needed | binary | Referral needed |
| referral_completed | binary | Referral completed |
| maternal_death | binary | Maternal death |
| cause_of_death | categorical | haemorrhage / eclampsia / sepsis / uterine_rupture |
| near_miss | binary | Maternal near miss |
4. Validation
Key validation checks:
- Mortality gradient: 0.20% → 0.73% → 2.25% ✓
- PPH rate: 8-13% across scenarios ✓
- Uterine atony: ~70% of PPH causes ✓
- AMTSL + oxytocin reduces PPH ✓
- Haemorrhage is #1 cause of death ✓
- Referral gap: needed vs completed ✓
5. Usage
from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/maternal-mortality-pph", "basic_emonc")
df = dataset["train"].to_pandas()
6. Limitations
- Simulated: Not from real obstetric registries.
- No continuous monitoring: No partograph data.
- Simplified: No detailed surgical notes.
- No indirect causes: Malaria/HIV as indirect causes simplified.
- No neonatal outcomes: Focus on maternal only.
7. References
- WHO (2023). Roadmap to combat PPH 2023-2030.
- WHO/UNICEF (2020). Trends in maternal mortality 2000-2020.
- NCBI (2021). PPH incidence Eastern Africa.
- PubMed (2021). Causes of maternal mortality SSA.
- PubMed (2022). Maternal mortality Africa regional trends.
- BMJ (2024). Substandard uterotonics economic impact.
- WHO (2012). AMTSL recommendations.
Citation
@dataset{esa_maternal_pph_2025,
title={Maternal Mortality and Postpartum Haemorrhage Dataset},
author={Electric Sheep Africa},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/datasets/electricsheepafrica/maternal-mortality-pph}
}
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