Research on deep learning model for stock prediction by integrating frequency domain and time series features by Wenjie Sun, Jianhua Mei, Shengrui Liu, Chunhong Yuan, Jiaxuan Zhao

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Research on education of graduates of bonded medical program for rural health in China: A systematic review by Xintao Huang, Mo Chen, Junyu Wang, Chen Zhang, Huisheng Deng

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Predicting Noise and User Distances from Spectrum Sensing Signals Using Transformer and Regression Models by Myke Valadão, Diego Amoedo, André Costa, Celso Carvalho, Waldir Sabino

“…This paper proposes a method for predicting noise levels and distances based on spectrum sensing signals using regression machine learning models. …”
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A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer's disease onset. by Francis Hane, Carolyn Augusta, Owen Bai

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How accurately can supervised machine learning model predict a targeted psychiatric disorder? by Haitham Jahrami, Amir H. Pakpour, Waqar Husain, Achraf Ammar, Zahra Saif, Ali Husain Alsalman, Adel Aloffi, Khaled Trabelsi, Seithikurippu R. Pandi-Perumal, Michael V. Vitiello

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An Investigation into Using CFD for the Estimation of Ship Specific Parameters for the SPICE Model for the Prediction of Sea Spray Icing: Part 2—The Verification of SPICE2 with a F... by Per-Arne Sundsbø, Sujay Deshpande

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Multi-Model Gait-Based KAM Prediction System Using LSTM-RNN and Wearable Devices by Doyun Jung, Cheolwon Lee, Heung Seok Jeon

“…Specifically, the RMSE for the Multi-model system was 6.84 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">N</mi><mo>·</mo><mi mathvariant="normal">m</mi></mrow></semantics></math></inline-formula>, which is lower than the 8.82 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">N</mi><mo>·</mo><mi mathvariant="normal">m</mi></mrow></semantics></math></inline-formula> of the Single-model system, indicating a better predictive accuracy. …”
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Untargeted Large Volume Hyperthermia Reduces Tumor Drug Uptake From Thermosensitive Liposomes by Krishna Ramajayam, A. Wolfe, Anjan Motamarry, Georges Nahhas, John Yost, Michael Yost, Dieter Haemmerich

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Frailty prediction in patients with chronic digestive system diseases: based on multi-task learning model by Sihan Hu, Xiaochuan Guo, Xiaobao Wang, Zixiang Jin, Chenyang Zhou, Lang Tu, Zhoulong Shi, Weiyi Ao, Xin Zhang, Jay Zheng, Xuezhi Zhang, Hui Ye

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Prediction of Telkomsel 4G LTE Card Sales using The K-Nearest Neighbor Algorithm by Alfiana Fontes Martins, Yasinta Oktaviana Legu Rema, Debora Chrisinta, Alejandro Jr. V. Matute, Krisantus Jumarto Tey Seran

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A glutamine metabolish-associated prognostic model to predict prognosis and therapeutic responses of hepatocellular carcinoma by Hao Xu, Hui Pan, Lian Fang, Cangyuan Zhang, Chen Xiong, Weiti Cai

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An algorithm to assess importance of predictors in systematic reviews of prediction models: a case study with simulations by Ruohua Yan, Chen Wang, Chao Zhang, Xiaohang Liu, Dong Zhang, Xiaoxia Peng

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A prediction model for 30-day mortality in patients with ARDS admitted to the intensive care unit by Fengjuan Jia, Guodong Xia, Lirong Hu, Fanjie Zhang, Yuexi Huang, Chaobing Yang, Li Liu, Xianying Lei

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Validation of ARISCAT Model Score to Predict Postoperative Pulmonary Complications in Tertiary Referral Hospital in Indonesia by Muhammad Alkaff, Ceva Wicaksono Pitoyo, Aldy Heriwardito, Sukamto Koesnoe

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A machine learning-based clinical predictive tool to identify patients at high risk of medication errors by Ammar Abdo, Lyse Gallay, Thibault Vallecillo, Justine Clarenne, Pauline Quillet, Vincent Vuiblet, Rudy Merieux

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Hyperspectral Prediction Models of Chlorophyll Content in <i>Paulownia</i> Leaves under Drought Stress by Yamei Zhang, Guangxin Ru, Zhenli Zhao, Decai Wang

“…Based on the prediction accuracy and the uniformity of different leaf positions, the optimal model was systematically explored. …”
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Factors and risk prediction model for radiotherapy-induced skin injury after breast-conserving surgery by Jian Jiang, Lihua Li, Bo Yang, Wang Xu

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A Starved Lubrication Model: Applications to Evaluate Gear Mesh and Response Prediction of Material Plasticity by Zhiyong Wang, Qingbing Dong, Bo Zhao

“…This study presents a model of starved mixed Elastohydrodynamic Lubrication (EHL) in point and line contact to investigate the lubrication performance and material response. …”
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A dynamic nomogram predicting nosocomial infections in patients after colon cancer surgery by Xue Yao, Shuhui Wang, Anning Lu, Yun Xu, Na Li

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Research and application of prediction model for returning home development population based on machine learning technology by DU Zhao, XIE Guocheng, CHEN Jingxuan, ZHANG Weibin

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