FEATURE SELECTION IN FETAL WELL-BEING CLASSIFICATION BASED ON CARDIOTOCOGRAPHY DATA (CTG) USING MACHINE LEARNING
Cardiotocography (CTG) serves as an essential instrument for observing fetal wellbeing. Accurate detection of fetal health is essential to minimize risks of complications during pregnancy and childbirth. However, challenges such as dataset imbalance and irrelevant features often often degrade cla...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/87637 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |