Paper Title
HEART FAILURE DETECTION

Abstract
Abstract - This research presents a machine learning-based Heart Failure Prediction Model designed to revolutionize the healthcare industry by enabling early detection and proactive intervention for heart failure. Leveraging advanced artificial neural networks (ANNs) and wearable sensor integration, the model offers accurate risk assessments, optimization of healthcare resource allocation, and data-driven decision-making capabilities. While the model holds great promise, it also addresses challenges concerning data quality, interpretability, and ethical considerations. The objective of this research is to empower healthcare providers and patients with a robust tool for improving patient outcomes and healthcare decision-making. Keywords - Machine Learning, Heart Failure, Artificial Neural Networks, Early Detection, Predictive Model, Healthcare, Data Quality, Ethical Considerations.