Introduction In a world shaped by rapid advancements and unprecedented challenges, the intersection of science and technology offers powerful solutions that can shape the future of humanity. It is with this mission in mind that we introduce the American Journal of Science and Technology Research. Our journal aspires to serve as a bridge between theoretical…
Thomas Freeman In secondary analysis research, traditional statistical models like logistic and linear regression have long been the standard tools for deriving insights from pre-existing datasets. These models, while foundational, often struggle to manage the complexities of modern datasets, including high-dimensionality, non-linear relationships, and interactions among variables. Machine learning (ML) methods, with their ability to…
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Introduction In recent years, the use of machine learning (ML) in medical research has expanded significantly, offering new ways to analyze complex datasets. However, the interpretability of these models remains a challenge. SHAP (SHapley Additive exPlanations) values have emerged as a powerful tool for enhancing model interpretability by assigning an importance value to each feature…
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