Predicting Fetal Condition from Cardiotocography Results Using the Random Forest Method

Islam, Syifa and Yulita, Intan (2020) Predicting Fetal Condition from Cardiotocography Results Using the Random Forest Method. In: Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia.

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Abstract

Cardiotocography is an important process in pregnancy as fetal monitoring. It monitors the baby's heart rate in a healthy condition or not. Apart from that, this can also measure whether the movements carried out by the baby in the womb are normal or not. This study extracted the recording data by c

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 13:29
Last Modified: 17 Apr 2026 10:44
URI: http://eprints.eai.eu/id/eprint/30023

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