Results 201 to 210 of about 150,441 (331)

Using DSGE and Machine Learning to Forecast Public Debt for France

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos, Thierry Betti, Theophilos Papadimitriou, Amélie Barbier‐Gauchard, Periklis Gogas   +4 more
wiley   +1 more source

Development and validation of a machine learning model to predict prognostic outcomes in infantile epileptic spasms syndrome. [PDF]

Front Pediatr
Zuo C, Xue B, Mu X, Cao Z, Zhou H, Liu Z, Sun D.   +6 more
europepmc   +1 more source

Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now

Journal of Forecasting, EarlyView.
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley   +1 more source

An interpretable weighted ensemble based on routinely collected clinical data for the accurate prediction of axillary lymph node metastasis. [PDF]

Quant Imaging Med Surg
Wang Y, Li Q, Zhao L.
europepmc   +1 more source

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

Journal of Forecasting, EarlyView.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn, Baptiste Meunier, Sebastian Stumpner   +2 more
wiley   +1 more source

Application of XGBoost and Random Forest algorithms for body weight prediction in Blackbelly sheep using biometric measurements. [PDF]

BMC Vet Res
Delgado MÁG, Tırınk C, Parra-Cortés RI, Martínez IV, Gomez-Vazquez A, Cruz-Hernandez A, Camacho-Pérez E, Dzib-Cauich DA, Önder H, Şen U, Chekirov K, Aksoy Y, Çelik HT, Odu O, Chay-Canul AJ.   +14 more
europepmc   +1 more source

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

Machine learning-based prediction of 1-year mortality risk after off-pump coronary artery bypass grafting. [PDF]

J Thorac Dis
Ma Y, Shi Y, Yin R.
europepmc   +1 more source

Research progress on the use of the optical coherence tomography system for the diagnosis and treatment of central nervous system tumors

Ibrain, Volume 11, Issue 1, Page 3-18, Spring 2025.
With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li, Ziba Ayi, Gonggong Lu, Haibo Rao, Feilong Yang, Jing Li, Jiachen Sun, Junlin Lu, Xulin Hu, Si Zhang, Xuhui Hui   +10 more
wiley   +1 more source

ESG Performance and Credit Risk: Evidence From Chinese Manufacturing Companies

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study investigates the effect of corporate environmental, social, and governance (ESG) performance on credit risk using a sample of manufacturing firms listed on China's Shanghai and Shenzhen A‐share markets from 2009 to 2021. Employing fixed effects, the generalised method of moments, and instrumental variable models, we find that ...
Yanan Wang, Xiao Zhang, Michal Wojewodzki, Yuxin Jian, Fadey AbiDaoud   +4 more
wiley   +1 more source