Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China by Weizi Wu, Li Jing, Qing Peng, Peng Hua, Zeng Shumei, Luofang Lv, Liqing Yue, Hu Jian zhong, Huang Weihong

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External validation of precisebreast, a digital prognostic test for predicting breast cancer recurrence, in an early-stage cohort from the Netherlands by Pieter J. Westenend, Claudia Meurs, Gerardo Fernandez, Marcel Prastawa, Abishek Sainath Madduri, Aaron Feliz, Juan Carlos Mejias, Alexander Shtabsky, Xiaozhu Zhang, Brandon Veremis, Rebecca DeAngel, Michael J. Donovan

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Nodal staging score: A tool to quantify the number of lymph nodes for examination and predict survival in IB–IIA cervical cancer by Hongrui Qiu, Xingyuan Hu, Qizhi Huang, Yinan Feng, Hongwei Lin, Huili Wang, Zhenyu Huang, Jinhang Leng

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Clinical Characteristics and a Novel Prediction Nomogram (EASTAR) for Patients with Hemorrhagic Fever with Renal Syndrome: A Multicenter Retrospective Study by Ke Ma, Ting Wu, Wei Guo, Jun Wang, Quan Ming, Jun Zhu, Hongwu Wang, Guang Chen, Xiaojing Wang, Weiming Yan, Xiaoping Luo, Tao Chen, Qin Ning

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Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich wastewater by Manoj Kumar, Rohil Saraf, Shishir Kumar Behera, Raja Das, Mansi Aliveli, Arindam Sinharoy, Eldon R. Rene, Ravi Krishnaiah, Kannan Pakshirajan

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Enhancing construction safety management through multivariable grey model analysis and variable selection optimization by Jian Liu, Ye He, Rui Feng, Qinlin Chu

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Twenty-five years of Alabama’s Rural Health Leaders Pipeline: what difference has it made? by John R. Wheat

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An AI-Driven Particle Filter Technology for Battery System State Estimation and RUL Prediction by Mohamed Ahwiadi, Wilson Wang

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Applying clustered artificial neural networks to enhance contaminant diffusion prediction in geotechnical engineering by Shaymaa Alsamia, Edina Koch

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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

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Evaluating polygenic risk score prediction performance for Alzheimer's disease in a population-based Hispanic cohort using single- and multi-ancestry modelsResearch in context by Yuexuan Xu, Min Qiao, Tamil I. Gunasekaran, Yian Gu, Dolly Reyes-Dumeyer, Angel Piriz, Danurys Sanchez, Belisa Soriano, Yahaira Franco, Zoraida Dominguez Coronado, Patricia Recio, Diones Rivera Mejia, Martin Medrano, Rafael A. Lantigua, Lawrence Honig, Jennifer J. Manly, Adam M. Brickman, Badri N. Vardarajan, Richard Mayeux

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VITA-D: A Radiomic Web Tool for Predicting Vitamin D Deficiency Levels by Yuliana Jiménez-Gaona, Oscar Vivanco-Galván, Darwin Castillo-Malla, Israel Vivanco-Gualán, Patricia Díaz-Guzmán

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Effectiveness of educational intervention in improving physical activity and nutritional performance among pregnant women: a pre-post quasi-experimental study using health belief m... by Ali Khani Jeihooni, Fatemeh Razmjouie, Hanieh Jormand, Fariba Sedghi Jahromi, Pooyan Afzali Harsini, Amirhossein Kamyab, Farzaneh Ghaleh Golab

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Evaluating the impact of an educational self-care intervention on the empowerment of primigravida pregnant women covered by family medicine program in the Estahban City —an applica... by Zahra Rezaei, Zahra Yazdanpanahi, Abdolrahim Asadollahi, Masoud Karimi, Leila Ghahremani

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Predicting compressive and splitting tensile strength of high volume fly ash roller compacted concrete using ANN and ANN-biogeography based optimization models by Murteda Unverdi, Ramin Kazemi, Yahya Kaya, Naz Mardani, Ali Mardani, Seyedali Mirjalili

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Prediction of radiation swelling of VVER-1000 reactors baffle ring for service life up to 30–60 years by O. S. Kalchenko, V. V. Bryk, V. M. Voyevodin, M. P. Lazarev

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Predicting mortality risk in Alzheimer’s disease using machine learning based on lifestyle and physical activity by Ruihong Tang, Liang Tan, Xia Chen, Zhengwu Shan, Zhao Zhang, Panpan Cheng

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A Self-Consistent, High-Fidelity Adsorption Model for Chromatographic Process Predictions: Low-to-High Load Density and Charge Variants in a Preparative Cation Exchanger by Gregor M. Essert, Marko Tesanovic, Sonja Berensmeier, Isabell Hagemann, Peter Schwan

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Development and validation of a clinical prediction model for dialysis-requiring acute kidney injury following heart transplantation: a single-center study from China by Shirui Qian, Bingxin Cao, Ping Li, Nianguo Dong

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Development of a clinical-molecular prediction model for central lymph node metastasis in cN0 stage papillary thyroid microcarcinoma: a retrospective study by Jinqiu Wang, Weida Fu, Jin Luo, Mingze Wei, Yongping Dai

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