Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

Abstract: Technology development has led to increased data generated in education, sparking interest in information extraction to support educational management through automated data analysis. Using ...

Purpose: Radiation dermatitis (RD) is a common and debilitating side effect of radiotherapy in nasopharyngeal carcinoma (NPC) patients. Traditional predictive models lack sufficient accuracy for ...

Cryptocurrency markets operate 24/7, creating constant opportunities for beginners to capitalize on. Buying and holding real digital assets like Bitcoin or Ethereum is simpler and safer for newcomers ...

Abstract: This study proposes a predictive model for assessing student mental health risk based on academic data using machine learning techniques. The objective is to identify the most effective ...

Results: The MIMIC-IV and eICU-CRD datasets comprised 6129 and 709 patients, respectively, who were included in the analysis. Fifty-four features were selected to construct the predictive model.

Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States ...

Experts reveal how AI-driven models revolutionise credit assessments and fraud detection while balancing privacy concerns in the fintech ecosystem Predictive analytics is fundamentally changing how ...

Problem: While anyone can use genAI, predictive AI is generally out of reach. Solution: Use genAI to steer your predictive AI project. So much potential. Predictive AI often delivers more value than ...