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Boosting algorithms

Machine learning–assisted optimization of a terahertz photonic metamaterial absorber for blood cancer detection

Asad Miah, Sams Al Zafir, [ ... ], Abdul Wahed

Unbiased inference for echocardiogram urgency prediction using double machine learning

Yiqun Jiang, Wenli Zhang, [ ... ], Qing Li

Machine learning-based prediction of the axial load capacity of UHPC strengthened reinforced concrete columns: A comparative analysis

Viet Hai Hoang, Minh Quang Tran, Van Thuc Ngo

Enhanced machine learning and hybrid ensemble approaches for Coronary Heart Disease prediction

Maurice Wanyonyi, Zakayo Ndiku Morris, Faith Mueni Musyoka, Dominic Makaa Kitavi

Machine learning-based prediction of glioma grading

Shihong Liu, Yunfang Xie, [ ... ], Wei Zou

Forecasting urban air quality in Paris using ensemble machine learning: A scalable framework for environmental management

Somia A. Asklany, Doaa Mohammed, [ ... ], Wajdan Al Malwi

Machine learning algorithms for predicting and identifying the influencing predictors of antenatal care visits among women in Bangladesh: Evidence from BDHS 2022 data

Md. A. Salam, Md. Merajul Islam, Md. Rezaul Karim

Construction and application of machine learning models for predicting intradialytic hypotension

Pingping Wang, Ningjie Xu, [ ... ], Kedan Cai

A water solubility prediction algorithm based on the StackBoost model

Bin Pan, Xiaoyu Hou, [ ... ], Shuangcai Li

Optimizing ensemble machine learning models for accurate liver disease prediction in healthcare

W. El Atifi, O. El Rhazouani, Fida Muhammad Khan, H. Sekkat

Predicting in-hospital mortality in ICU patients with Coronary heart disease and diabetes mellitus using machine learning models

Guang Tu, Zhonglan Cai, [ ... ], Haijian Luo

Development of a risk prediction model for sepsis-related delirium based on multiple machine learning approaches and an online calculator

Lang Gao, Guang Dong Wang, [ ... ], Ya Xin Zhang

Ensemble machine learning prediction model for clinical refraction using partial interferometry measurements in childhood

Sa Ra Kim, Dong Hyun Kang, Gon Soo Choe, Dae Hee Kim

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