The American Journal of Managed Care

Refining a Diagnostic Code List to Investigate Low-Acuity Utilization by Veterans

The authors updated a diagnosis list to identify low-acuity emergency department visits by veterans and applied it to examine ...
Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Scientific Research Publishing

Assessment of Forest Reserve Deforestation in the Federal Capital Territory (FCT), Nigeria ()

Figures 12-14 are the land use/land cover maps of existing forest reserves in the FCT, namely; Tufa in Abaji, Chihuma, Chikwei, Kusoru and Shaba in Bwari, Maje Abuchi in Gwagwalada, then, Buga Hill, ...

Ranks of Disparity: New approach fixes flaw in fairness algorithms

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new ...
IEEE

The Impact of Image Spatial Resolution and Machine Learning Algorithm on Urban Vegetation Classification: Focus on Data Loss and Misclassification

Abstract: Urban vegetation classification is challenging due to the heterogeneous nature of urban environments. Accurate mapping of urban vegetation, which plays a crucial role in regulating ...
Open Heart

Periprocedural evaluation of patients with BAV stenosis undergoing TAVR: a machine learning-based study

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
IEEE

Predictive Risk Modeling Using Statistical and Machine Learning Algorithms on Structured Clinical Data

Abstract: The Heart Disease UCI dataset is predicted for heart disease presence through statistical modeling techniques on various clinical parameters. Multiple models are trained after performing ...