Affiliation:
1. GIET University, India
2. Chandigarh University, India
Abstract
Machine learning algorithms have the potential to revolutionize the way healthcare providers care for pregnant women. By using various input variables such as maternal characteristics, medical history, ultrasound measurements, and biomarkers, machine learning algorithms can develop personalized risk assessments to guide clinical decision-making and interventions. Additionally, these algorithms can monitor fetal well-being by analyzing electronic fetal monitoring data and detect signs of fetal distress. Image analysis algorithms can also identify fetal anomalies or complications more accurately and efficiently than manual interpretation of images. Finally, machine learning algorithms can develop personalized treatment recommendations based on clinical data, such as identifying optimal medication dosages and recommending the most appropriate delivery mode for women with prior cesarean deliveries. Overall, leveraging machine learning can improve the care of pregnant women and help ensure healthy outcomes for both mother and baby.