TEKNOLOGI SISTEM PAKAR DALAM MENDIAGNOSA BERAT BADAN LAHIR RENDAH MENGGUNAKAN CASE BASED REASONING (CBR)

Mauliza Mauliza, Defry Hamdhana
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Abstract

Body Weight is one indicator for health of newborns (BBL). The health of newborns is a seriously problem and one indicator for the cause of infant mortality in Indonesia. In this case, we use expert system with case based reasoning (CBR) methods to diagnosis the low birth weight. Our paper aims to knows risks factor which measurement the low birth weight and can develop the hospital system to diagnose the initial symptoms of newborns type. We use age, HB rate, parity distance, number of antenental visits, amount of parity, socio-economy status, mother’s education level, and nutrition status of pregnant while the maternal work history variable is a protection factor.Keywords: Expert System, CBS, low birth weight
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体重是新生儿健康的一个指标。新生儿的健康是一个严重问题,也是印度尼西亚婴儿死亡原因的一个指标。在这种情况下,我们使用基于案例推理(CBR)方法的专家系统来诊断低出生体重。本文旨在了解低出生体重的危险因素,并开发出新生儿型初始症状诊断的医院系统。我们使用年龄、HB率、胎次距离、产前检查次数、胎次数量、社会经济地位、母亲受教育程度和孕妇营养状况,而母亲的工作史变量是一个保护因素。关键词:专家系统,CBS,低出生体重
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