Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...

Abstract: This study utilizes decision tree and logistic regression models to explore the factors contributing to medical claim denials and identify areas for improvement. We adapt undersampling ...

This report applies the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology to analyze the Miami housing dataset. CRISP-DM offers a structured approach to data mining, guiding the ...

For all the attention we give our flower beds, trees are an indispensable part of our landscape. Oaks, pecans, magnolias and others add shade, character and beauty to our yards. But behind their ...

It looks like a rough road ahead for the former EV leader. After a highly volatile April, Tesla (TSLA) stock is facing more uphill battles as it enters May. A year ago, few would have argued that the ...

Leading psoriasis investigators have developed two diagnostic decision trees to help clinicians make optimal determinations about diagnostic and treatment courses. The review appears in the ...

WICHITA, Kan. (KSNW) – They’re a tree you won’t see in many nurseries anymore. The Callery pear and its variations are all over the state, with ongoing efforts by environmental organizations to remove ...

Decision trees are a powerful tool for decision-making and predictive analysis. They help organizations process large amounts of data and break down complex problems into clear, logical steps. Used in ...

Abstract: This paper presents a pulse-arrival-time (PAT) estimation scheme using Extreme Gradient Boosting (XGBoost) regression and its implementation with hardware description language (HDL). PAT is ...