Formulation of a Computational Model for Predicting Drug Reactions Using Machine Learning
Keywords:
Artificial Intelligence, Machine Learning, Drug Reactions, HealthcareAbstract
In the rapidly evolving landscape of healthcare, the efficient detection of drug reactions is of paramount importance to ensure patient safety and optimize treatment outcomes. This article presents the formulation of a computational model for the prediction of drug reactions in clinical settings using machine learning techniques. Our research leverages state-of-the-art machine learning algorithms to extract valuable insights from health records and prescription data. By systematically analyzing the relationships between prescribed medications and observed patient reactions, our computational model will be able to identify potential drug reactions emanating from drug prescription in clinical a clinical setting.
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Copyright (c) 2023 Christopher Agbonkhese, Hettie Abimbola Soriyan, Kolawole Mosa
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