Results 201 to 210 of about 88,634 (286)

Development and validation of a machine learning-based early warning model for carbapenem-resistant <i>Klebsiella pneumoniae</i> bloodstream infections using non-carbapenem susceptibility profiles. [PDF]

Front Microbiol
Song J, Bai Y, He S, Ji J, Chen Y, Xiao Y.   +5 more
europepmc   +1 more source

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

Energy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen, Linming Dou, Atao Li, Wu Cai, Lei Zhang   +4 more
wiley   +1 more source

Non-linear impacts of local fiscal expenditure on farmers' income: A SHAP-informed machine-learning analysis. [PDF]

PLoS One
Zhang T, Zhang J.
europepmc   +1 more source

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

Interpretable chronic obstructive pulmonary disease identification using chest X-ray radiomics: a multicenter study. [PDF]

Insights Imaging
Zhou Q, Zhai W, Zhou T, Wang Y, Zhou X, Lin X, Li J, Wu H, Dai Q, Ma Y, Xu F, Zhang H, Ge Y, Fan L.   +13 more
europepmc   +1 more source

Exploring the Nexus Between Sustainability Index and Central European Stock Markets Competitiveness: Evidence Through Time–Frequency Analysis and SHAP

Journal of Forecasting, EarlyView.
ABSTRACT Sustainability has become an important factor shaping financial markets and investor behavior. This paper examines the relationship between sustainability indices and Central European stock markets using a time–frequency approach. Wavelet coherence is employed to capture time‐varying co‐movements between sustainability indices and stock market
Zuzana Janková, Dipak Kumar Jana, Michal Páleš, Elena Fleaca, Petr Dostál   +4 more
wiley   +1 more source

Correction: Spatial distribution patterns and landslide susceptibility analysis from a global–local perspective along the Zhuzhou-Guangzhou section of the Beijing–Guangzhou railway

Frontiers in Earth Science
Hanxing Liu, Hanxing Liu, Chong Xu, Chong Xu, Chong Xu, Liye Feng, Liye Feng, Peng Wang, Jingjing Sun, Jingjing Sun, Xuewei Zhang, Xuewei Zhang, Juanling Wang, Qihao Sun, Kang Li   +14 more
doaj   +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

Development of a web-based machine learning model for early prediction of delayed high-dose methotrexate clearance in pediatric osteosarcoma. [PDF]

Front Pediatr
Duan F, Ji M, Wu L, Liu C.
europepmc   +1 more source

Progress of metabolomics‐centric multi‐omics research in medicine

iMetaOmics, EarlyView.
The graphical abstract illustrates a holistic roadmap for metabolomics‐centric multi‐omics integration in medical research. The upper panel depicts the technological transition from traditional bulk analysis to high‐resolution single‐cell and spatial methodologies, specifically addressing inherent challenges such as molecular complexity and dynamic ...
Ziyi Wang, Shiwen Deng, Xiaoxu Wang, Xiao Chang, Na Guo, Peng Chen, Hongjun Yang   +6 more
wiley   +1 more source