Penerapan Jaringan Saraf Tiruan Dalam Memprediksi Gizi Balita Pada Puskesmas Siantar Utara Kota Pematangsiantar

Abstract

The North Siantar Health Center's Puskesmas is a health sector engaged in public health sciences, at the Office of the North Siantar Sub-District of Pematangsiantar City conducted research with the Nutritional research variables under five months of age. attacked by various diseases ranging from external diseases and internal diseases. Artificial Neural Network is a method of grouping and separating data whose working principle is the same as Human Neural Networks, this Science processes systems and structures so that they become information.

Implementation of Artificial Intelligence in Healthcare

“…We can now study and compare the technology that were used to help medical staffs take care of patients or do other kinds of job that can lower the workload of the medical staffs. Based on the literature that were selected, artificial intelligence type that were used are as follow: [8], [18], [19] [9], [17], [18], [22], [24], [25], [26], [27] [10], [19], [21] [11], [13], [14], [15]. [20], [21], [23] Data Mining Based on the literature review, there are various type of artificial intelligence that have been implemented in the healthcare section.…”

Optimization of Machine Learning Classification Analysis of Malnutrition Cases in Children

“…ANN also has a major contribution in analyzing the effects of malnutrition using input variables such as age, weight, height, muscle circumference, head circumference, and arm circumference [24]. The application of ANN was also successful in predicting the Body Mass Index (BMI) for toddlers to calculate the number of cases of malnutrition in toddlers [25]. In other cases, ANN was also able to take into account the risk factors for malnutrition in toddlers with reported results that there was a relationship between the mother's knowledge and the incidence of malnutrition with an OR value of 95% [26].…”