• VANDANA G
• KAVYA K
• ADITI SINGH
• MRS.SUPRIYA

In pregnancy care, most critical problems are facing in case of low weight of fetus growth that effects newborn’s baby health which leads to death in more cases. For prediction of fetal birth weight estimation, we have used Machine learning techniques & algorithms which can predict problems related to fetus growth during gestation period. With the help of these algorithms, we can get excellent results regarding accuracy and also predicted in early stage. The importance of this paper is diagnosis of problems can be done early in fetal development. This paper gives the analysis of three stages in fetus birth weight estimation based on ML techniques. Finally we used ML techniques & algorithms such as linear regression and Random forest regressor that predicts Fetal birth weight. Among the algorithms used ,Random forest regressor predicts more accurate than Linear regression.

"Fetal Birth Weight Estimation During High Risk Pregnancies With Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.e120-e124, May-2023, Available :http://www.jetir.org/papers/JETIR2305416.pdf

"Fetal Birth Weight Estimation During High Risk Pregnancies With Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppe120-e124, May-2023, Available at : http://www.jetir.org/papers/JETIR2305416.pdf