Paper Title
Predictive Modelling for Disease Diagnosis and Health Deterioration Based on Physiological Signals

Abstract
Prompt disease prediction is crucial for saving lives, with rapid advancements in intelligent systems analysing complex data to drive predictive insights. Artificial intelligence is rapidly transforming healthcare, especially through machine learning and deep learning, aiding in disease diagnosis and prediction from various data sources. Predictive analytics plays a critical role, impacting disease prognosis accuracy and patient outcomes, with accurate predictions potentially saving lives while incorrect ones pose risks. Thus, dependable and effective techniques for healthcare predictive analysis are imperative. Consequently, this paper seeks to provide a thorough overview of current machine learning and deep learning methodologies employed in disease prediction and pinpoint the inherent challenges in implementing these methodologies within the healthcare sector. Keywords - Predictive Modelling, Disease prediction, Artificial intelligence (AI), Machine learning (ML), Deep learning (DL);