Hospital Malnutrition Modelling of Children Suffering Acute Respiratory Infections Using Multivariate Adaptive Regression Spline Approach

Abstract

Hospital malnutrition is a condition of nutritional insufficiency or nutritional imbalances of patients treated in
the hospital. A patient suffers hospital malnutrition when patient’s weight reduces more than or equal to 2% after
undertaking treatment in the hospital at least two days. A child who is in pain conditions will be susceptible to
malnutrition. There are two possible situations when a child is admitted to the hospital, i.e., malnutrition or
unmalnutrition. In general, the incidence of malnutrition hospital is high enough, which is about 30% to 60%. One of
diseases that affects many children and many patients caused hospital malnutrition is a disease of Acute Respiratory
Infections (ARI). In this paper, we determine a model of the relationship between the incidence of hospital malnutrition of
children suffer ARI and the factors that influence it, i.e., patient age, duration of treatment in hospital, body mass index,
and treatment class. Modelling is conducted by using Multivariate Adaptive Regression Spline (MARS), because the
method allows obtaining interaction among the predictor variables. So that, we obtain statistical model that is more
realistic to actual condition, and get the accuracy of the classification model value.
Keywords: Acute Respiratory Infections, Hospital Malnutrition of Children, Multivariate Adaptive Regression Spline.