Optimization of Backpropagation (BP) Weight Values Using Particle Swarm Optimization (PSO) to Predict KIP Scholarship Recipients by Dika Kurnia Nanda, Dian Palupi Rini

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Risk factors and predictive models for sequelae of heat stroke primarily involving cerebellar dysfunction by Xiao-Xiao Ni, Gai-Ci Xue, Ye-Qun Guo, Xiao-Juan Xie, Jie Wang, Zhi-Feng Liu

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Predicting individual hemoglobin abnormalities using longitudinal data in clinical practice by Maliheh Namazkhan, Karel Jan van Tuijn, Maurits Kaptein, Remco van Horssen

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Development and validation of a depression risk prediction model for rural elderly living alone by Shasha Gao, Huijun Zhang

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Machine learning model for predicting in-hospital cardiac mortality among atrial fibrillation patients by Huasheng Lv, Xuehua Bi, Shuai Shang, Meng Wei, Xianhui Zhou, Kai Wang, Baopeng Tang, Yanmei Lu

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Development and validation of a mortality predictive model for ICU patients with primary pulmonary hypertension by Chao-Yong Zhang, Yao-Shi Hu, Zhong-Yuan Meng, Chuang-Hong Lu, Yu-Fei Xie, Qin Yu, Lan-Xian Mai, Zhi-Yu Zeng

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Construction of a risk prediction model for falls in elderly lung cancer patients with sarcopenia by Qing Wang, Qing Wang, Xiao Han, Jun Zhang, Jun Zhang, Mengying Hu, Mengying Hu, Jiaojiao Xu, Qiongqiong Ai, Hequn Wei, Jiao Yu, Haiping Ma

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Development and validation of machine learning models predicting hospitalizations of hypertensive patients over 12 months by A. E. Andreychenko, A. D. Ermak, D. V. Gavrilov, R. E. Novitsky, O. M. Drapkina, A. V. Gusev

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Advanced Machine Learning Methods for the Prediction of the Optical Parameters of Tellurite Glasses by Fahimeh Ahmadi, Mohsen Hajihassani, Tryfon Sivenas, Stefanos Papanikolaou, Panagiotis G. Asteris

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Machine learning model optimization for compressional sonic log prediction using well logs in Shahd SE field, Western Desert, Egypt by Khaled Saleh, Walid M. Mabrouk, Ahmed Metwally

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Predicting the Distribution of Mesophotic Coral Ecosystems in the Chagos Archipelago by Clara Diaz, Kerry L. Howell, Kyran P. Graves, Adam Bolton, Phil Hosegood, Edward Robinson, Nicola L. Foster

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OPTIMIZATION OF NEURAL NETWORK CLASSIFIERS BY LEVERAGING THE SEQUENTIAL FEATURE ENGINEERING FOR ROBUST WATER QUALITY PREDICTION SYSTEM by Maheswara Rao V V R, Silpa N, Kranthi Addanki, Shiva Shankar Reddy, Ramachandra Rao Kurada, Pachipala Yellamma

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Risk prediction model of cognitive performance in older people with cardiovascular diseases: a study of the National Health and Nutrition Examination Survey database by Hui Wang, Sensen Wu, Dikang Pan, Yachan Ning, Cong Wang, Jianming Guo, Yongquan Gu

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Three-State Hidden Markov Model for Spectrum Prediction in Cognitive Radio Networks by Emmanuel Oluwatosin Rabiu, Damilare Oluwole Akande, Zachaeus Kayode Adeyemo, Isaac Akinwale Akanbi, Oluwole Oladele Obanisola

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Identification of predictors and construction of a prediction model for the quality of life in laryngeal carcinoma patients in China using revised core nursing outcomes by Yongxia Ding, Yanzhi Tian, Ruirui Duan, Jing Xu, Huixian Yang, Jinxia Xu, Liyun Tang

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Modeling K12 Teachers’ Online Teaching Competency and Its Predictive Relationship with Performance—A Mixed-Methods Study Based on Behavioral Event Interviews by Jun Tian, Wenhui Tian

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Analysis of the Impact for Mixed Traffic Flow Based on the Time-Varying Model Predictive Control by Rongjun Cheng, Haoli Lou, Qi Wei

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Radiological indicators and a novel combined predictive model for anticipating difficult laryngoscopy in cervical spondylosis patients: a prospective cohort study by Jiao Li, Yang Tian, Mingya Wang, Jingchao Fang, Hua Zhang, Feng Yue, Mao Xu, Jun Wang, Min Li, Xiangyang Guo, Yongzheng Han

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Transcriptomic profile assessment for preeclampsia prediction and early diagnostics by A. V. Melnik, V. E. Solovyova, Yu. O. Yatsenko, A. E. Filippova, E. G. Asryan, T. Е. Seitumerov, E. R. Myshak, Yu. A. Chernysheva, S. A. Ziyadinova, V. O. Kononenko, M. R. Kadyrova, A. A. Denisenko, K. T. Ismagilova, D. V. Mushinsky, L. E. Sorokina

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Integrated modeling of SPARC H-mode scenarios: exploration of the impact of modeling assumptions on predicted performance by M. Muraca, P. Rodriguez-Fernandez, N.T. Howard, J. Hall, E. Fable, G. Tardini

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