The risk prediction models for cognitive frailty in the older people in China: a systematic review and meta-analysis by Minhua Ren, Hongtao Guo, Yingjie Guo, Wanjun Guo, Liangjin Zhu

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Predictive Modeling of Long-Term Care Needs in Traumatic Brain Injury Patients Using Machine Learning by Tee-Tau Eric Nyam, Kuan-Chi Tu, Nai-Ching Chen, Che-Chuan Wang, Chung-Feng Liu, Ching-Lung Kuo, Jen-Chieh Liao

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Construction of a depression risk prediction model for elderly individuals living alone with chronic diseases in China by WANG Li, SHAO Yan, WANG Meng, NIU Qiao, WANG Tingting

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A Predictive Model for Perinatal Brain Injury Using Machine Learning Based on Early Birth Data by Ga Won Jeon, Yeong Seok Lee, Won-Ho Hahn, Yong Hoon Jun

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Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model by George Peat, Martin J Thomas, Milica Blagojevic-Bucknall, Ross Wilkie, Simran Singh Parmar, Diane Smith, Bethany Jane Seale, Gemma Mansell

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Ductile Fracture Prediction in Mg-ZM51M Alloy Using Inverse-Calibrated Damage Models by Thamer Sami Alhalaybeh, Ashiq Iqbal Chowdhury, Hammad Akhtar, Yanshan Lou

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Expert opinion as priors for random effects in Bayesian prediction models: Subclinical ketosis in dairy cows as an example. by Haifang Ni, Irene Klugkist, Saskia van der Drift, Ruurd Jorritsma, Gerrit Hooijer, Mirjam Nielen

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Landscape of cancer associated EpCAM mutations: molecular modeling, predictive insights and impact on patient survival by Priyanka S. Dhotare, Audrey C. Bochi-Layec, Timothy P. Fleming, William E. Gillanders, Ross M. Bremner, Kailas D. Sonawane, Narendra V. Sankpal

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Develop and validate machine learning models to predict the risk of depressive symptoms in older adults with cognitive impairment by Enguang Li, Fangzhu Ai, Qingyan Tian, Haocheng Yang, Ping Tang, Botang Guo

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Nationwide study on development and validation of a risk prediction model for CIN3+ and cervical cancer in Estonia by Anna Tisler, Andres Võrk, Martin Tammemägi, Sven Erik Ojavee, Mait Raag, Aleksandra Šavrova, Mari Nygård, Jan F. Nygård, Mindaugas Stankunas, Anda Kivite-Urtane, Anneli Uusküla

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MRI machine learning model predicts nerve root sedimentation in lumbar stenosis: a prospective study by Qing Wang, Xianping Luo, Deng Li, Yi Zhai, Caiyun Ying

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Transition to a Circular Bioeconomy in the Sugar Agro-Industry: Predictive Modeling to Estimate the Energy Potential of By-Products by Yoisdel Castillo Alvarez, Reinier Jiménez Borges, Gendry Alfonso-Francia, Berlan Rodríguez Pérez, Carlos Diego Patiño Vidal, Luis Angel Iturralde Carrera, Juvenal Rodríguez-Reséndiz

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Intermittency in fluid and magnetohydrodynamics (MHD) turbulence analyzed through the prism of moment scaling predictions of multifractal models by A. Pouquet, A. Pouquet, R. Marino, H. Politano, Y. Ponty, D. Rosenberg

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Establishment of nomogram prediction model for patients with chronic obstructive pulmonary disease based on Lasso feature screening by Shuyi Zhang, Jiaojiao Sha, Tao Jiang, Zhou Lu, Yulin Shi, Jiatuo Xu

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Applicability of predictive models for 30-day unplanned hospital readmission risk in paediatrics: a systematic review by Stephanie Stock, Jörg Dötsch, Dirk Müller, Ines Marina Niehaus, Nina Kansy

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A Fusion Deep Learning Model for Predicting Adverse Drug Reactions Based on Multiple Drug Characteristics by Qing Ou, Xikun Jiang, Zhetong Guo, Jiayi Jiang, Zhanpeng Gan, Fangfang Han, Yongming Cai

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Genotype-Driven Phenotype Prediction in Onion Breeding: Machine Learning Models for Enhanced Bulb Weight Selection by Junhwa Choi, Sunghyun Cho, Subin Choi, Myunghee Jung, Yu-jin Lim, Eunchae Lee, Jaewon Lim, Han Yong Park, Younhee Shin

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Development of a model for predicting gastrointestinal bleeding in patients with ischemic stroke after dual antiplatelet therapy by Yuncao Fan, Chunping Zhu, Jiamei Zhou, Renjie Yi, Jiaming Huang

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Study on the prediction performance of AIDS monthly incidence in Xinjiang based on time series and deep learning models by Dandan Tang, Yuanyuan Jin, XuanJie Hu, Dandan Lin, Abiden Kapar, YanJie wang, Fang Yang, Huling Li

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Attention-Enhanced CNN-LSTM Model for Exercise Oxygen Consumption Prediction with Multi-Source Temporal Features by Zhen Wang, Yingzhe Song, Lei Pang, Shanjun Li, Gang Sun

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