• Jakkilinki Sai Satya Geetika
• Marukurthi Amrutha
• Bethapudi Jyothi
• Kottu Prudhvi Nagendra
• Kone Sandeep

The review of delivery type prediction is based on machine learning models. We develop a machine learning model that analyzes the partograph data to predict potential complications and or the need for medical interventions. There are many ideas and observations regarding the use of partograph but there is no clear understanding of the implementation of this partograph. The model uses a set of parameters by examining the mother’s status and fetal condition and the ongoing labor progression. The objective of the survey is to identify the best algorithms used for predicting the delivery type i.e, normal delivery or cesarean delivery using machine learning.

"Delivery Type Prediction in Labour Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.c647-c653, March-2024, Available :http://www.jetir.org/papers/JETIR2403281.pdf

"Delivery Type Prediction in Labour Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppc647-c653, March-2024, Available at : http://www.jetir.org/papers/JETIR2403281.pdf