Penalized landmark supermodels (penLM) for dynamic prediction for time-to-event outcomes in high-dimensional data by Anya H. Fries, Eunji Choi, Summer S. Han

Subjects: “…Dynamic prediction…”
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Wear and crack initiation prediction of rail irregularity welding zone by LIN Fengtao, WANG Zixu, TAN Rongkai, ZHANG Zihao, DU Ruiting, SHI Zhiqin

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Shear Wave Velocity Prediction with Hyperparameter Optimization by Gebrail Bekdaş, Yaren Aydın, Umit Işıkdağ, Sinan Melih Nigdeli, Dara Hajebi, Tae-Hyung Kim, Zong Woo Geem

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Real-Time Football Match Prediction Platform by An Zhongqi

“…This paper presents a Python-based platform for predicting football match outcomes by collecting and processing real-time data from the SofaScore website. …”
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Modelling and Simulation for Concrete Durability: Mechanism and Prediction by Qing-feng Liu, Branko Šavija, Jin Xia, Xiaoshan Lin, Dongshuai Hou

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Bifurcation and Chaos Prediction in Nonlinear Gear Systems by Anooshirvan Farshidianfar, Amin Saghafi

“…The numerical simulation of the system including bifurcation diagram, phase plane portraits, Fourier spectra, and time histories is considered to confirm the analytical predictions for the occurrence of homoclinic bifurcation and chaos in nonlinear gear systems.…”
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Location Prediction on Trajectory Data: A Review by Ruizhi Wu, Guangchun Luo, Junming Shao, Ling Tian, Chengzong Peng

Subjects: “…location prediction…”
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An Aggregating Prediction Model for Management Decision Analysis by Jianhong Guo, Che-Jung Chang, Yingyi Huang, Xiaotian Zhang

“…Therefore, it is important for enterprises to be able to effectively analyze and make predictions using small data sets. Although various approaches have been developed to solve the problem of prediction, their application is often limited by insufficient observations. …”
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3D Reconstruction and Prediction of Sialolith Surgery by Jamyson Oliveira Santos, Brunna da Silva Firmino, Matheus Santos Carvalho, Jean de Pinho Mendes, Lucas Novaes Teixeira, Sérgio Lúcio Pereira de Castro Lopes, André Luiz Ferreira Costa, Antonione Santos Bezerra Pinto

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Study on predictive models for COVID-19 in Cuba by Juan Felipe Medina Mendieta, Manuel Eduardo Cortés Cortés, Manuel Cortés Iglesias, Annia del Carmen Pérez Fernández, Marianelis Manzano Cabrera

“…<br /><strong>Results:</strong> there is an adequacy of the presented models with respect to the predicted and the real values which allow their reliability for the predictions made for Cuba.…”
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Detecting and Predicting Models for QoS Optimization in SDN by Getahun Wassie, Jianguo Ding, Yihenew Wondie

“…Hence, elephant flow detection and early prediction techniques optimize QoS. In this regard, we employed DNN and CNN deep learning models to detect elephant flows, and the random forest model predicts elephant flows in the SDN. …”
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Clinical Prediction Score for Ruptured Appendicitis in ED by Thidathit Prachanukool, Chaiyaporn Yuksen, Welawat Tienpratarn, Sorravit Savatmongkorngul, Panvilai Tangkulpanich, Chetsadakon Jenpanitpong, Yuranun Phootothum, Malivan Phontabtim, Promphet Nuanprom

“…The Alvarado Score is used as a tool to predict the risk of acute appendicitis, but there is no such score for predicting rupture. …”
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The Efficacy of Predictive Methods in Financial Statement Fraud by Mahdi Omidi, Qingfei Min, Vahab Moradinaftchali, Muhammad Piri

“…A number of detective and predictive methods have been used to prevent, detect, and correct FSF, but their practicability has always been a big challenge for researchers and auditors, as they do not address real-world problems. …”
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Prediction Models of Severity in Acute Biliary Pancreatitis by Iulia Ratiu, Renata Bende, Camelia Nica, Oana Budii, Calin Burciu, Andreea Barbulescu, Tudor Moga, Bogdan Miutescu, Roxana Sirli, Mirela Danila, Alina Popescu, Felix Bende

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Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…Diabetes may be predicted and prevented by exploring critical diabetes characteristics by computational data extraction methods. …”
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Performance of Machine Learning Classifiers for Diabetes Prediction by Mijala Manandhar, Shaikat Baidya, Babalpreet Kaur, Katia Atoji

“…In this study, machine learning (ML) classifiers were evaluated for their effectiveness in predicting diabetes using the Pima Indians Diabetes Database. …”
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Modify possibilities of the secondary structures prediction method by Alvydas Špokas, Albertas Timinskas

“… It was analyzed dependence of the average accuracy of secondary protein structure prediction on various GOR algorithm modifications. In essence new modification has expanded informational parameter set by taking into account secondary structure of neighboring amino acid. …”
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Deep learning-based prediction of autoimmune diseases by Donghong Yang, Xin Peng, Senlin Zheng, Shenglan Peng

“…Experimental results show that both models exhibit good performance in the prediction of the four autoimmune diseases, with the AutoY model performing slightly better in comparison. …”
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Predictive Value of Cardiovascular Global Risk Calculation by Cynthia Morales Pérez, Milagros Lisset León Regal, Rosmari Álvarez Hernández, Yudith Brito Pérez de Corcho, José Omar de Armas García, Alejandro Muñoz Morales

“…This work was aimed at explaining the predictive value for cardiovascular diseases, for which a documentary review of a total of 27 bibliographic sources was done. …”
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PAIVS: prediction of avian influenza virus subtype by Hyeon-Chun Park, Juyoun Shin, Sung-Min Cho, Shinseok Kang, Yeun-Jun Chung, Seung-Hyun Jung

“…Here, in order to support the pre-processing of NGS data and its interpretation, we developed a user-friendly tool, named prediction of avian influenza virus subtype (PAIVS). …”
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