Development and validation of a predictive model for in-hospital mortality in patients with coronary heart disease and renal insufficiency by Yahui Li, Hongsen Cai, Wei Zheng, Meijie Wang, Man Huang, Luyun Wang, Daowen Wang, Chunxia Zhao, Wenguang Hou, Hu Ding, Yan Wang, Hongling Zhu

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A predictive machine-learning model for clinical decision-making in washed microbiota transplantation on ulcerative colitis by Sheng Zhang, Gaochen Lu, Weihong Wang, Qianqian Li, Rui Wang, Zulun Zhang, Xia Wu, Chenchen Liang, Yujie Liu, Pan Li, Quan Wen, Bota Cui, Faming Zhang

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Prediction of runoff in the upper reaches of the Hei River based on the LSTM model guided by physical mechanisms by Huazhu Xue, Chaoqiang Guo, Guotao Dong, Chenchen Zhang, Yaokang Lian, Qian Yuan

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Conditional logistic individual-level models of spatial infectious disease dynamics by Tahmina Akter, Rob Deardon

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Model to Predict Hyperbilirubinemia in Healthy Term and Near-Term Newborns with Exclusive Breast Feeding by Hsin-Chung Huang, Hwai-I Yang, Yu-Hsun Chang, Rui-Jane Chang, Mei-Huei Chen, Chien-Yi Chen, Hung-Chieh Chou, Wu-Shiun Hsieh, Po-Nien Tsao

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Development of Mathematical Functions to Predict Deflection of Radial and Bias Tractor Tires on Rigid Surface by Firat Komekci, Adnan Degirmencioglu

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Study on the vibration prediction model of step group hole blasting considering non-stationarity by LI Hongchao, ZHANG Qipeng, HUANG Guoquan, SHI Yulian, HUANG Yonghui, HAN Haoxuan, YI Jiaxin, QU Chenliang

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Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus by Shuo Ma, Yaya Chen, Zhexi Gu, Jiwei Wang, Fengfeng Zhao, Yuming Yao, Gulinaizhaer Abudushalamu, Shijie Cai, Xiaobo Fan, Miao Miao, Xun Gao, Chen Zhang, Guoqiu Wu

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PREDICTING OF THE DEVELOPMENT OF THE ENTERPRISE BY USING NEURAL NETWORK TOOLS by Nataliia PARKHOMENKO

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Probabilistic prediction of Load–Displacement curves of corroded strands by Seungjun Lee, Jaebeom Lee, Chi-Ho Jeon, Young-Joo Lee

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Prediction of bronchopulmonary dysplasia course in children by analyzing clinico-biochemical indicators by L. M. Chernenko

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Remaining useful life prediction of a small sample of aero-engine based on an improved gray Markov model by Dong-hai Li, Ji-liang Tu, Hui Liu, Nai-zhi Liao

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Research on digital twin modeling method for combustion process based on model reduction by Yue Zhang, Jiale Li

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Bending fatigue life prediction of honeycomb sandwich structures by DONG Fan, MA Weijie, JI Haoran, LI Yazhi, ZHOU Chunping

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Effect of phosphorus fractions on benthic chlorophyll-a: Insight from the machine learning models by Yuting Wang, Sangar Khan, Zongwei Lin, Xinxin Qi, Kamel M. Eltohamy, Collins Oduro, Chao Gao, Paul J. Milham, Naicheng Wu

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Comparing AI/ML approaches and classical regression for predictive modeling using large population health databases: Applications to COVID-19 case prediction by Lise M. Bjerre, Cayden Peixoto, Rawan Alkurd, Robert Talarico, Rami Abielmona

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Comparative analysis of empirical and deep learning models for ionospheric sporadic E layer prediction by BingKun Yu, PengHao Tian, XiangHui Xue, Christopher J. Scott, HaiLun Ye, JianFei Wu, Wen Yi, TingDi Chen, XianKang Dou

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Data driven prediction of fragment velocity distribution under explosive loading conditions by Donghwan Noh, Piemaan Fazily, Songwon Seo, Jaekun Lee, Seungjae Seo, Hoon Huh, Jeong Whan Yoon

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A Novel Cooperative AI-Based Fall Risk Prediction Model for Older Adults by Deepika Mohan, Peter Han Joo Chong, Jairo Gutierrez

“…Two AI models’ predictions are combined to produce accurate predictions: The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>I</mi></mrow><mrow><mn>1</mn></mrow></msub></mrow></semantics></math></inline-formula> model is based on vital signs using Fuzzy Logic, and the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>I</mi></mrow><mrow><mn>2</mn></mrow></msub></mrow></semantics></math></inline-formula> model is based on Activities of Daily Living (ADLs) using a Deep Belief Network (DBN). …”
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Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage by V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka

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