Comparing AI/ML approaches and classical regression for predictive modeling using large population health databases: Applications to COVID-19 case prediction by Lise M. Bjerre, Cayden Peixoto, Rawan Alkurd, Robert Talarico, Rami Abielmona

Subjects: Get full text

Predicting obesity at adolescence from an early age in a Dutch observational cohort study: the development and internal validation of a multivariable prediction model by Arjan Henryk Jonathan Huizing, Marieke Welten, Sylvia van der Pal, Yvonne Schönbeck, Pepijn van Empelen, Romy Gaillard, Vincent W.V. Jaddoe, Stef van Buuren

Subjects: “…Prediction model…”
Get full text

A machine learning-based method for predicting the shear behaviors of rock joints by Liu He, Yu Tan, Timothy Copeland, Jiannan Chen, Qiang Tang

Subjects: Get full text

Development and validation of a machine learning-based survival prediction model for Asian glioblastoma patients using the SEER database and Chinese data by Denglin Li, Luxin Zhang, Lifei Xu, Renhe Zhai, Hanyu Gao, Junlan Gao, Minghai Wei, Ningwei Che, Yeting He

Subjects: Get full text

Pan-cancer predictive survival model development and evaluation using electronic health record and genetic data across 10 cancer types by Jurgita Gammall, Alvina G. Lai

Subjects: Get full text

Maximum cold ischemia duration for a kidney allograft: a prediction model for allograft failure at the time of organ allocationResearch in context by Clement Gosset, Susana Barbosa, Alexandre Destere, Sebastien Cuozzo, Laetitia Albano, Emmanuel Morelon, Xavier Charmetant, Moglie Le Quintrec, Jean-Emmanuel Serre, Marc Ladrière, Sophie Girerd, Christophe Masset, Dany Anglicheau, Carmen Lefaucheur, Gillian Divard, Enrico Gruden, Matthieu Durand, Dirk Kuypers, Maarten Coemans, Nicolas Glaichenaus, Oriol Bestard, Anders Åsberg, Magali Giral, Maarten Naesens, Antoine Sicard

Subjects: “…Predictive model…”
Get full text

Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt by Nehal Elshaboury, Haytham Elmousalami

“…The outcomes of the wind speed prediction (WSP) model are used as inputs for the wind power prediction (WPP) model in a wind speed and power integration prediction system. …”
Get full text

Deterministic and Stochastic Machine Learning Classification Models: A Comparative Study Applied to Companies’ Capital Structures by Joseph F. Hair, Luiz Paulo Fávero, Wilson Tarantin Junior, Alexandre Duarte

Subjects: Get full text

Improved radiation risk models applied to different patient groups in Sweden by M. Andersson, K. Eckerman, D. Pawel, A. Almen, S. Mattsson

Get full text

Evaluating Global Machine Learning Models for Tropical Cyclone Dynamics and Thermodynamics by Pankaj Lal Sahu, Sukumaran Sandeep, Hariprasad Kodamana

“…Abstract Machine Learning Weather Prediction (MLWP) models have recently demonstrated remarkable potential to rival physics‐based Numerical Weather Prediction (NWP) models, offering global weather forecasts at a fraction of the computational cost. …”
Get full text

Hybrid machine learning and physics-based model for estimating lettuce (Lactuca sativa) growth and resource consumption in aeroponic systems by Benedetta Fasciolo, Nicolò Grasso, Giulia Bruno, Paolo Chiabert

Subjects: Get full text

Empirical and machine learning-based approaches to identify rainfall thresholds for landslide prediction: a case study of Kerala, India by Varun Menon, Sreevalsa Kolathayar

“…Supporting this objective, the present study developed a machine learning (ML) classifier-based threshold model to determine rainfall thresholds for predicting impending landslides in Kerala, India, using historical data. …”
Get full text

Determining Factors Affecting Acceptance of Autonomous Vehicles using Statistical and Machine Learning Models by Uneb Gazder, Eman Algherbal

“…Parametric analysis and prediction model were used to analyze the relationships between the willingness to use and participants’ characteristics and opinions. …”
Get full text

Determining Factors Affecting Acceptance of Autonomous Vehicles using Statistical and Machine Learning Models by Uneb Gazder, Eman Algherbal

“…Parametric analysis and prediction model were used to analyze the relationships between the willingness to use and participants’ characteristics and opinions. …”
Get full text

Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models by Olushina Olawale Awe, Peter Njoroge Mwangi, Samuel Kotva Goudoungou, Ruth Victoria Esho, Olanrewaju Samuel Oyejide

“…These methods evaluated the influence of different characteristics on the probability of malaria diagnosis, revealing critical features that contribute to prediction outcomes. Conclusion By integrating ensemble machine learning models with explainable AI frameworks, the study promoted transparency in decision-making processes, thereby empowering healthcare providers with actionable insights for improved treatment strategies and enhanced patient outcomes, particularly in malaria management.…”
Get full text

The Role of Artificial Intelligence in Predicting and Managing Pediatric Fracture Overgrowth: A Comprehensive Review by Daniela Alessia Marletta, Matteo Nanni, Gabriele Giuca, Ilaria Sanzarello, Biagio Zampogna, Danilo Leonetti

Subjects: Get full text

Application of Machine Learning Models in Optimizing Wastewater Treatment Processes: A Review by Florin-Stefan Zamfir, Madalina Carbureanu, Sanda Florentina Mihalache

“…This research aims to study the ML and DL systematic applications in optimizing the wastewater treatment processes from an industrial plant, such as the modeling of complex physical–chemical processes, real-time monitoring and prediction of critical wastewater quality indicators, chemical reactants consumption reduction, minimization of plant energy consumption, plant effluent quality prediction, development of data-driven type models as support in the decision-making process, etc. …”
Get full text

Appropriate Combination of Artificial Intelligence and Algorithms for Increasing Predictive Accuracy Management by Shahram Gilani Nia

Subjects: Get full text

An efficient parallel runoff forecasting model for capturing global and local feature information by Yang-hao Hong, Dong-mei Xu, Wen-chuan Wang, Hong-fei Zang, Xiao-xue Hu, Yan-wei Zhao

“…To address these issues, this study proposes a new PCPFN (PolyCyclic Parallel Fusion Network) prediction model that leverages the multi-periodic characteristics of runoff sequences and shares global features through a dual-architecture parallel computation approach. …”
Get full text

Optimization of Adaptive Cruise Control Strategies Based on the Responsibility-Sensitive Safety Model by Tengwei Yu, Yubin Tang, Renxiang Chen, Shuen Zhao

Subjects: Get full text