Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

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MILLING FORCE MODELING BASED ON EQUIVALENT TURNING FORCE AND OBLIQUE CUTTING FORCE MODEL (MT) by WU MingZhou, ZHANG GuangPeng, LIU MoHan, GOU JianFeng, ZHANG Peng

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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

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Machine learning for post-diploma educational and career guidance: a scoping review in AI-driven decision support systems by Flavio Manganello, Elisa Rasca, Alberto Villa, Andrea Maddalena, Giannangelo Boccuzzi

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PERMA-based PBL teaching model: a case study of mechanical drawing in vocational education by Yiming Lu, Yonghuan Guo, Xiwen Wang

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Exploring spatial machine learning techniques for improving land surface temperature prediction by Arunab K.S., Mathew A.

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Aerodynamic Prediction and Design Optimization Using Multi-Fidelity Deep Neural Network by Bingchen Du, Ennan Shen, Jiangpeng Wu, Tongqing Guo, Zhiliang Lu, Di Zhou

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Detection of Cardiovascular Diseases Using Predictive Models Based on Deep Learning Techniques: A Hybrid Neutrosophic AHP-TOPSIS Approach for Model Selection by Julio Barzola-Monteses, Rosangela Caicedo-Quiroz, Franklin Parrales-Bravo, Cristhian Medina-Suarez, Wendy Yanez-Pazmino, David Zabala-Blanco, Maikel Y. Leyva-Vazquez

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A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization by Songping He, Xiangxi Li, Fangyu Peng, Jiazhi Liao, Xia Lu, Hui Guo, Xin Tan, Yanyan Chen

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Monitoring land-use changes and predicting their spatio-temporal trends in Hamedan City by Naser Shafiei Sabet, Faranak Feyzbabaei cheshmeh sefidi

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Analysis of Drought Evolution Characteristics in Haihe River Basin Based on Sub-Period Prediction Model by HAN Dongmei, JIANG Shanshan

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Streamlining pedagogical technologies in digital educational environment by A. Yu. Anisimov, A. N. Aleksakhin, S. A. Aleksakhina, L. S. Baytimerova

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The Association Between Laboratory Biomarkers and Clinical Features in COVID-19 Pneumonia: A Potential Tool for Predicting Disease Prognosis and Severity by Hossein Jalali, Ahmad Najafi, Lotfollah Davoodi, Abbas Alipour, Mohammad Reza Mahdavi

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The Flemish model of training and supervision by S. Smith, S.A.H. Moosa, H.H. Conradie, G. Morris, C. van Deventer, M. van Rooyen, A. Derese, J. de Maeseneer

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Maximum cold ischemia duration for a kidney allograft: a prediction model for allograft failure at the time of organ allocationResearch in context by Clement Gosset, Susana Barbosa, Alexandre Destere, Sebastien Cuozzo, Laetitia Albano, Emmanuel Morelon, Xavier Charmetant, Moglie Le Quintrec, Jean-Emmanuel Serre, Marc Ladrière, Sophie Girerd, Christophe Masset, Dany Anglicheau, Carmen Lefaucheur, Gillian Divard, Enrico Gruden, Matthieu Durand, Dirk Kuypers, Maarten Coemans, Nicolas Glaichenaus, Oriol Bestard, Anders Åsberg, Magali Giral, Maarten Naesens, Antoine Sicard

“…These factors were combined into two predictive models of kidney allograft failure (Cox regression and Fine Gray) showing accurate calibration, and discrimination with a C-Index of 0.66 (95% CI: 0.63–0.70 at year one) on the validation cohort for the Fine Gray model. …”
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Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

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Novel Conformable Fractional Order Unbiased Kernel Regularized Nonhomogeneous Grey Model and Its Applications in Energy Prediction by Wenkang Gong, Qiguang An

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INCLUSIVE EDUCATION ORGANIZATION AT THE NATIONAL LEVEL by Liliia М. Potapiuk

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INTERNATIONAL EXPERIENCE IN IMPLEMENTATION OF DUAL EDUCATION by Kucher Oleg

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Construction of a novel online calculator for prediction of osteoporosis risk in Chinese type 2 diabetes patients by Xing Yu, Wenchi Liu, Xiaojun Chen, Yicheng Wang, Huibin Tang, Yunyun Su, Liangdi Xie, Li Luo

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