Table 3.

feature clustering results for different number of the clusters

	K	Cluster.Id	Features
Discriminating livebirth from stillbirth	2	1	Gestational age, fetal height
		2	All other features
	4	1	Gestational age
		2	Any pregnancy risk factor, fetal abnormality, delivery risk factors, maternal education, maternal insurance type, hospital type, delivery type
		3	Fetal height
		4	All other features
	6	1	Gestational age
		2	Any pregnancy risk factor, fetal abnormality, delivery risk factors, maternal education, hospital type, delivery type
		3	Gestational diabetes, pre-eclampsia or eclampsia risk factors, placental abruption, Meconium-stained amniotic fluid, labor main cause, fetal gender, maternal insurance type
		4	Fetal height
		5	Province, hospital, region, city, medical science university operator the hospital, cesarean main cause, maternal age
		6	All other features
Discriminating stillbirth before delivery from during it	2	1	Cesarean main cause, gestational age, miscarriage number, fetal abnormality, medical science university operator of the hospital, province, hospital, fetal gender, fetal height, maternal education, delivery main cause, maternal age
		2	All other features
	3	1	Cesarean main cause, gestational age, miscarriage number, fetal abnormality, medical science university operator of the hospital, perinatal gender, perinatal height, maternal education, delivery main cause, maternal age
		2	Province, hospital
		3	All other features
	7	1	Number of the previous deliveries, number of the pregnancies, number of livebirth in the previous pregnancies, hospital type, maternal insurance type
		2	Gestational age, cesarean main cause, medical science university operator of the hospital, fetal height, maternal education, maternal age
		3	Province
		4	Fetal abnormality, fetal gender, delivery main cause
		5	Miscarriage number
		6	Hospital
		7	All other features