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Artificial intelligence (AI) is a powerful tool for reshaping healthcaresystems. In healthcare, AI is invaluable for its capacity to manage vastamounts of data, which can lead to more accurate and speedy diagnoses,ultimately easing the workload on healthcare professionals. As a result, AI hasproven itself to be a power tool across various industries, simplifying complextasks and pattern recognition that would otherwise be overwhelming for humansor traditional computer algorithms. In this paper, we review the strengths andweaknesses of Bayesian Ridge Regression, an AI model that can be used to bringcutting edge virus analysis to healthcare professionals around the world. Themodel's accuracy assessment revealed promising results, with room forimprovement primarily related to data organization. In addition, the severityindex serves as a valuable tool to gain a broad overview of patient care needs,aligning with healthcare professionals' preference for broader categorizations.

Applying Bayesian Ridge Regression AI Modeling in Virus Severity Prediction