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Management engineering

Trends in the likelihood of receiving percutaneous coronary intervention in a low-volume hospital and disparities by sociodemographic communities

Christina Wang, Karla Lindquist, Harlan Krumholz, Renee Y. Hsia

Energy consumption prediction using the GRU-MMattention-LightGBM model with features of Prophet decomposition

Shaokun Liang, Tao Deng, [ ... ], Xuchu Jiang

Health service research definition builder: An R Shiny application for exploring diagnosis codes associated with services reported in routinely collected health data

Kelsey Chalmers, Valérie Gopinath, Adam G. Elshaug

How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign

Henrika Langen, Martin Huber

Spillover effect analysis of home-purchase limit policy on housing prices in large and medium-sized cities: Evidence from China

Guancen Wu, Wenjing Guo, Xing Niu

An expressway traffic congestion measurement under the influence of service areas

Lyuchao Liao, Zhengrong Li, [ ... ], Zhiyu Xu

Random forests, sound symbolism and Pokémon evolution

Alexander James Kilpatrick, Aleksandra Ćwiek, Shigeto Kawahara

Statistical and machine learning approaches to predict the necessity for computed tomography in children with mild traumatic brain injury

Tadashi Miyagawa, Marina Saga, [ ... ], Akira Yamaura

Exploring reproductive trajectories of youths of Oromia, Ethiopia: A life course approach

Tariku Dejene, Eshetu Gurmu

Quantifying the relative contributions of habitat modification and mammalian predators on landscape-scale declines of a threatened river specialist duck

Amy L. Whitehead, John R. Leathwick, Douglas J. Booker, Angus R. McIntosh

Bank liquidity and the risk-taking channel of monetary policy: An empirical study of the banking system in China

Cong Wang, Lihuan Zhuang

Research on prediction of compressive strength of fly ash and slag mixed concrete based on machine learning

Meng Wang, Jiaxu Kang, [ ... ], Meng Li

Prediction of hospital readmission of multimorbid patients using machine learning models

Jules Le Lay, Edgar Alfonso-Lizarazo, [ ... ], Thomas Célarier

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