About this document
Fetal Weight Prediction via Machine Learning by poojagowda182005 is a document available to read on EtoBox.
The document presents a project on estimating fetal birth weight in high-risk pregnancies using machine learning, specifically the Random Forest algorithm. The study aims to improve prediction accuracy by analyzing maternal and fetal data, addressing limitations of traditional methods like ultrasound. The project includes a web interface for real-time predictions and emphasizes the importance of accurate fetal weight estimation for better clinical decision-making.
- Author
- poojagowda182005
- Language
- EN