[HTML][HTML] Machine Learning for Predicting Neurodevelopmental Disorders in Children
Featured Application This study is an extension of the “Smart Computing Models, Sensors,
and Early Diagnostic Speech and Language Deficits Indicators in Child Communication” …
and Early Diagnostic Speech and Language Deficits Indicators in Child Communication” …
Healthcare performance analytics based on the novel PDA methodology for assessment of efficiency and perceived quality outcomes: A machine learning approach
V Santamato, C Tricase, N Faccilongo… - Expert Systems with …, 2024 - Elsevier
Efficient resource allocation in healthcare organizations remains a complex challenge,
exacerbated by the intricate data structure and myriad variables involved. While traditional …
exacerbated by the intricate data structure and myriad variables involved. While traditional …
The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection
A Marengo - 2023 - preprints.org
This paper explores the dynamic intersection of Artificial Intelligence (AI) and the Internet of
Things (IoT), focusing on emerging trends in intelligent data analysis and privacy protection …
Things (IoT), focusing on emerging trends in intelligent data analysis and privacy protection …
[HTML][HTML] Machine Learning for Evaluating Hospital Mobility: An Italian Case Study
This study delves into hospital mobility within the Italian regions of Apulia and Emilia-
Romagna, interpreting it as an indicator of perceived service quality. Utilizing logistic …
Romagna, interpreting it as an indicator of perceived service quality. Utilizing logistic …
Investigating Energy Consumption in Hospitals by Text Mining Method
Energy consumption in hospitals can reach significant levels. However, it is essential to
provide health services without compromising service quality. Accordingly, the need for …
provide health services without compromising service quality. Accordingly, the need for …