4 papers
Parental Imprints On Birth Weight: A Data-Driven Model For Neonatal Prediction In Low Resource Prenatal Care
Rajeshwari Mistri, Harsh Joshi, Nachiket Kapure +6
Accurate fetal birth weight prediction is a cornerstone of prenatal care, yet traditional methods often rely on imaging technologies that remain inaccessible in resource-limited se…
Predicting Fetal Birthweight from High Dimensional Data using Advanced Machine Learning
Nachiket Kapure, Harsh Joshi, Rajeshwari Mistri +6
Birth weight serves as a fundamental indicator of neonatal health, closely linked to both early medical interventions and long-term developmental risks. Traditional predictive mode…
"FRAME: Forward Recursive Adaptive Model Extraction-A Technique for Advance Feature Selection"
Nachiket Kapure, Harsh Joshi, Parul Kumari +2
The challenges in feature selection, particularly in balancing model accuracy, interpretability, and computational efficiency, remain a critical issue in advancing machine learning…
Precision Adaptive Imputation Network : An Unified Technique for Mixed Datasets
Harsh Joshi, Rajeshwari Mistri, Manasi Mali +2
The challenge of missing data remains a significant obstacle across various scientific domains, necessitating the development of advanced imputation techniques that can effectively…