Traffic accident severity prediction with ensemble learning methods
S Çeven, A Albayrak - Computers and Electrical Engineering, 2024 - Elsevier
In this study, decision tree-based models are proposed for classification of traffic accident
severity. Traffic accident severity is classified into three categories. The data set used in the …
severity. Traffic accident severity is classified into three categories. The data set used in the …
Explainable artificial intelligence and machine learning: novel approaches to face infectious diseases challenges
DR Giacobbe, Y Zhang, J de la Fuente - Annals of Medicine, 2023 - Taylor & Francis
Artificial intelligence (AI) and machine learning (ML) are revolutionizing human activities in
various fields, with medicine and infectious diseases being not exempt from their rapid and …
various fields, with medicine and infectious diseases being not exempt from their rapid and …
Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE
Artificial Intelligence (AI) is a key component in Industry 4.0. Rotating machines are critical
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …
components in manufacturing industries. In the vast world of Industry 4.0, where an IoT …
Towards Improved XAI-Based Epidemiological Research into the Next Potential Pandemic
By applying AI techniques to a variety of pandemic-relevant data, artificial intelligence (AI)
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …
Explanations based on Item Response Theory (eXirt): A model-specific method to explain tree-ensemble model in trust perspective
J de Sousa Ribeiro Filho, LFF Cardoso… - Expert Systems with …, 2024 - Elsevier
Solutions based on tree-ensemble models represent a considerable alternative to real-world
prediction problems, but these models are considered black box, thus hindering their …
prediction problems, but these models are considered black box, thus hindering their …
[HTML][HTML] Investigating the rheological characteristics of alkali-activated concrete using contemporary artificial intelligence approaches
MN Amin, AAA Al-Naghi, RUD Nassar… - Reviews on Advanced …, 2024 - degruyter.com
Using artificial intelligence-based tools, this research aims to establish a direct correlation
between the alkali-activated concrete (AAC) mix design factors and their performances …
between the alkali-activated concrete (AAC) mix design factors and their performances …
Anxiety but not menopausal status influences the risk of long-COVID-19 syndrome in women living in Latin America
FR Pérez-López, JE Blümel, MS Vallejo, I Rodríguez… - Maturitas, 2024 - Elsevier
Objective To study sociodemographic and clinical factors associated with the long-COVID-
19 syndrome among women living in Latin American countries using undirected and …
19 syndrome among women living in Latin American countries using undirected and …
[HTML][HTML] Integrative genomic analysis of the lung tissue microenvironment in SARS-CoV-2 and NL63 patients
K Bhuvaneshwar, S Madhavan, Y Gusev - Heliyon, 2024 - cell.com
ABSTRACT The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-CoV-
2 virus has affected over 700 million people, and caused over 7 million deaths throughout …
2 virus has affected over 700 million people, and caused over 7 million deaths throughout …
Severity prediction in COVID-19 patients using clinical markers and explainable artificial intelligence: A stacked ensemble machine learning approach
K Chadaga, S Prabhu, N Sampathila… - Intelligent Decision …, 2023 - content.iospress.com
The recent COVID-19 pandemic had wreaked havoc worldwide, causing a massive strain on
already-struggling healthcare infrastructure. Vaccines have been rolled out and seem …
already-struggling healthcare infrastructure. Vaccines have been rolled out and seem …
[HTML][HTML] Update on artificial intelligence against COVID-19: what we can learn for the next pandemic—a narrative review
S Patil, FW Licari, S Bhandi, KH Awan… - Journal of Public …, 2024 - jphe.amegroups.org
Methods: English scientific articles were retrieved using Mesh terms—COVID-19, artificial
intelligence with AND as Boolean operator in PubMed Database from January 2023 to …
intelligence with AND as Boolean operator in PubMed Database from January 2023 to …