• Chethana.c
• Kavitha N
• Dr.M.N.Nachappa
• Dr.Preeti Savant

sonography test of physical parameters has existed mainly and is handed-down to evaluate prior birth weight i.e. before birth and baby oppression before prenatal to guide before birth cancer and decreases fetal dejection and death.. We present a robust methods utilizing a basic document file comprising intrapartum records. The twelve inches/30.48 centimeters measured spline function is used to fit the curves of various key characteristics that are derived from ultrasound reports. A number of plain and effective machine intelligence algorithms are trained, and their efficiency is judged accompanying real test dossier.

variable identification, logistic, data cleaning, visualization, analysis, prediction

"FETAL WEIGHT PREDICTION USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.d314-d321, April-2022, Available :http://www.jetir.org/papers/JETIR2204338.pdf

"FETAL WEIGHT PREDICTION USING MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppd314-d321, April-2022, Available at : http://www.jetir.org/papers/JETIR2204338.pdf