This analysis revisits a logistic regression case study I originally worked on in 2024 using R, based on the well-known forest fires dataset from P. Cortez focused on the Montesinho National Park in ...

Firth penalization reduces small-sample bias and produces finite estimates even when standard MLE fails due to (quasi-)complete separation or monotone likelihood. Standard maximum-likelihood logistic ...

In today’s AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast datasets. Traditional data analysis methods are often slow and struggle to ...

Customer retention isn’t just a marketing metric—it’s a financial strategy. As Finance and Business leaders, we know that keeping an existing customer is significantly more cost-effective than ...

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...

The diagnosis of acute appendicitis and concurrent surgery referral is primarily based on clinical presentation, laboratory and radiological imaging. However, utilizing such an approach results in as ...

Differentiating between bipolar disorder and major depressive disorder can be challenging for clinicians. The diagnostic process might benefit from new ways of monitoring the phenotypes of these ...

Research shows vitamin D supplements may help reduce peripheral neuropathy; the findings may be especially relevant for Black cancer patients.

Patient Portals to Elicit Essential Patient-Reported Elements of Communication Supporting Person-Centered Oncologic Care: A Pilot Study of the PERSON Approach By implementing ePRO for symptom ...

Globally, the prevalence of mental health problems, especially depression, is at an all-time high. The objective of this study is to utilize machine learning models and sentiment analysis techniques ...