AI in Predictive Healthcare Analytics: Forecasting Disease Outbreaks and Patient Outcomes

Abstract

Advanced technology in the form of Artificial Intelligence is currently being used in health care in a way that allows for A/B testing of various scenarios with the expectation of predicting disease breakout and necessary staffing and resource distribution. Examples include ML and deep learning algorithms that process large amounts and types of data as ways healthcare systems can then anticipate proactive solutions. Public health responses are artificially intelligent to forecast the detection of epidemics by analyzing past and current data. Also, the AI models in healthcare prognosis of the expected health condition for a specific patient which results into better patient care. AI also helps to manage scarce resources such as; beds in hospitals and medications. This paper discusses these application areas and lays out how AI can strengthen public health interventions and refine the methods by which care is provided, despite issues like data protection and unfair model bias.