ARTIFICIAL INTELLIGENCE FOR PREDICTING CHILD STUNTING RISK
ABSTRACT ARTIFICIAL INTELLIGENCE FOR PREDICTING CHILD STUNTING RISK By Aisya Nur Kamila NIM: 18318037 (Undergraduate Program in Biomedical Engineering) Stunting is a serious nutritional problem in Indonesia. Based on the Indonesian Toddler Nutrition Status Survey, in 2019 the stunting preval...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/66832 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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