Table 2 Features used in this study (each subset represents the features used in previous LBW classification studies).

From: Infant birth weight estimation and low birth weight classification in United Arab Emirates using machine learning algorithms

Dataset name and authors

Classification/regression task

Total features

Feature names that were used in this study

Feature that were not available to us

Subset-1; Hussain et al. 202011

LBW classification

445 samples with 18 features. Binary classification

Socioeconomic condition, age, height, BGroup, parity, antenatal check, initial weight of mother, final weight of mother (Last ANC), initial systolic blood pressure, initial diastolic blood pressure, final systolic blood pressure (Last ANC), final diastolic blood pressure (last ANC), initial hemoglobin level, final hemoglobin level (Last ANC), blood sugar (Random), TermPreterm Term: 37–40 weeks, preterm: < 37 weeks, sex, and weight

Socioeconomic condition, antenatal check, and blood sugar (random)

Subset-2; Faruk et al. 201812

Prediction and classification

9 features including BW

Place of residence, time zone, wealth index, mother’s education, father’s education, age of mother, job of mother, and the number of children

Time zone, wealth index, and father’s job

Subset-3; Khule et al. 201813

SGA, AGA, and LGA classification

30,705 pregnancy samples with complete information of all variables

23 features (Sociodemographic, pregnancy risk factors, past pregnancy history, current pregnancy)

Maternal age, common law/married, area-level income quintiles, urban residence, smoking before pregnancy, prepregnancy BMI [m/kg2], pre-existing hypertension, pre-existing diabetes, previous gestational diabetes, previous child with BW < 2500 g, previous child with BW > 4080 g, previous caesarean section, previous preterm delivery < 29 weeks, previous preterm delivery 29–32 weeks, previous preterm delivery 33–36 weeks, previous death of neonate ≥ 500 g, fetal male sex, weight gain at 26 weeks [kg], smoking during pregnancy, substance use during pregnancy, gestational diabetes, pregnancy-induced hypertension, and psychiatric disorder

Area-level income quintiles, urban residence, weight gain at 26 weeks [kg], smoking during pregnancy, substance use in pregnancy, pregnancy-induced hypertension, and psychiatric disorder

Subset-4; Sethilkumar et al. 201514

LBW classification

11 features

years (age), the weight of the mother at her last menstrual period (LWT), the number of physician visits during the first trimester of pregnancy (FTV), race (RACE), lifestyle information, e.g., smoking (smoke), history of previous preterm delivery (PTL), the presence of uterine irritability (UI), and hypertension (HT)

Race and UI

Subset-5; Loreto et al. 201915

LBW classification

9 features and 2328 instances

Multiplicity (whether the gestation is multiple) smoker, hypertension, diabetes, age, BMI, gestational age, fetus sex, and fetus weight

Multiplicity (when gestation is multiple)

Subset-6; Kader and Nirmala 201416

LBW

20,946 instances, 11 features

Sex, wealth status, caste/tribe, age, education, BMI, stature, anemia level, interpregnancy interval, antenatal visits, and living place

Wealth status, caste/tribe, anemia level, and living place