Results 101 to 110 of about 22,279 (217)

Radiogenomics: Current Understandings and Future Perspectives

MedComm, Volume 7, Issue 2, February 2026.
Radiogenomics links imaging phenotypes with genetic variations, offering potential for comprehensive understanding, cost‐effective diagnosis, and prognosis prediction to advance personalized medicine. However, its clinical application remains limited by several challenges.
Xinyu Zhang, Qingpei Lai, Jin Cao, Jerry Chi Fung Ching, Xinzhi Teng, Jiang Zhang, Shara Wee Yee Lee, Ge Ren, Jing Cai   +8 more
wiley   +1 more source

A Causal‐Spatial Explainability Framework for Geological Hazard Susceptibility Modeling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Data‐driven susceptibility models often act as black boxes, predicting where hazards may occur without explaining why. To address this gap, we propose a Causal‐Prior (CP) framework that integrates validated causal knowledge into training while yielding spatially grounded explanations.
Bo‐Fan Yu, Huai‐Xue Xing, Hong‐Hu Zhu, Wei‐Ya Ge, Cong‐Xuan Kang, Mu‐Hua Zhao, Zheng‐Da Zhang   +6 more
wiley   +1 more source

Associations Between 40‐Year Trajectories of BMI and Proteomic and Epigenetic Aging Clocks: Deciphering Nonlinearity and Interactions

Aging Cell, Volume 25, Issue 2, February 2026.
In twins followed up over 40 years across adulthood, we examined associations between long‐term body mass index trajectories and downstream acceleration in proteomic and epigenetic aging. We further examined whether these associations showed statistical evidence for nonlinear patterns.
Gabin Drouard, M. Austin Argentieri, Aino Heikkinen, Miina Ollikainen, Jaakko Kaprio   +4 more
wiley   +1 more source

Generative High‐Resolution Ensemble Weather Forecast Supports Renewable Energy Planning and Operation

Geophysical Research Letters, Volume 53, Issue 2, 28 January 2026.
Abstract The planning and operation of renewable energy, especially wind power, depend crucially on accurate, timely, and high‐resolution weather information. Coarse‐grid global numerical weather forecasts are typically downscaled to meet these requirements, introducing challenges of scale inconsistency, process representation error, computation cost ...
Jingnan Wang, Jie Chao, Shangshang Yang, Congyi Nai, Kaijun Ren, Kefeng Deng, Xi Chen, Yaxin Liu, Qiuzi Han Wen, Ziniu Xiao, Lifeng Zhang, Xiaodong Wang, Jiping Guan, Baoxiang Pan   +13 more
wiley   +1 more source

Comparison of CatBoost and LightGBM Models for Air Humidity Prediction

Journal of Applied Informatics and Computing
This study uses historical weather data from the Badan Meteorologi, Klimatologi, dan Geofisika (BMKG) to evaluate the performance of two combination machine learning models, LightGBM and CatBoost, in predicting air humidity.
Tangkas Surya Wibawa, Novita Kurnia Ningrum, Ahmad Syahreza   +2 more
doaj   +1 more source

Prediction Model of Hypertension Complications Based on GBDT and LightGBM

, 2021
Xinpeng Ji, Wenbing Chang, Yue Zhang, Houxiang Liu, Chen Bang, Yiyong Xiao, Shenghan Zhou   +6 more
openalex   +1 more source

Prediction model of pet rescue outcome based on LightGBM and Bayesian optimisation [PDF]

, 2023
Lin Chen
openalex   +1 more source

Implementation of Chi-Square Feature Selection for Parkinson’s Disease Classification Using LightGBM

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Penyakit Parkinson merupakan penyakit yang disebabkan oleh kerusakan sel saraf otak dan termasuk penyakit yang jumlah kasusnya meningkat pesat di dunia.
Annisa Salsabila Ahdyani, Irwan Budiman, Dwi Kartini, Andi Farmadi, Muhammad Itqan Mazdadi   +4 more
doaj   +1 more source

Multiclass classification of body performance based on LightGBM [PDF]

, 2023
Ziniu Lu
openalex   +1 more source

APPLICATION OF THE SUPPORT VECTOR MACHINE, LIGHT GRADIENT BOOSTING MACHINE, ADAPTIVE BOOSTING, AND HYBRID ADABOOST-SVM MODEL ON CUSTOMERS CHURN DATA

Barekeng
A service provider is a business that provides services or the expertise of an individual in a certain sector. A service provider’s customer flow could be very dynamic, with both new and churning customers.
Felice Elena, Robyn Irawan, Benny Yong
doaj   +1 more source