Predicting the efficacy of rehabilitation in patients with type 2 diabetes and diabetic polyneuropathy by T.H. Bakaliuk, N.R. Makarchuk, H.O. Stelmakh, V.I. Pankiv, I.I. Kamyshna

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Predicting kidney graft function and failure among kidney transplant recipients by Yi Yao, Brad C. Astor, Wei Yang, Tom Greene, Liang Li

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PREDICTIVE ANALYSIS IN RURAL ECONOMICS: TOOLS FOR PLANNING AND EVALUATING SUSTAINABLE INVESTMENTS by Boris COREȚCHI

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Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance by Ziyuan Zhong, Junyang Zhou

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Demand Prediction of Railway Emergency Resources Based on Case-Based Reasoning by Jianping Sun, Hantao Cao, Biao Geng, Zhaoping Tang, Xiaopeng Li

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Skip-based combined prediction method for distributed photovoltaic power generation by WU Minglang, PANG Zhenjiang, HONG Haimin, ZHAN Zhaowu, JIN Fei, TANG Yuanyang, YE Xuan

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Impact of data bias on machine learning for crystal compound synthesizability predictions by Ali Davariashtiyani, Busheng Wang, Samad Hajinazar, Eva Zurek, Sara Kadkhodaei

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Application of Artificial Intelligent Approach to Predict the Normal Boiling Point of Refrigerants by Bo Liu, Maryam Karimi Nouroddin

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The success of critical velocity protocol on predicting 10000 meters running performance by Barış Çabuk, Onur Demirarar, Merve Cin, Refik Çabuk, Bahtiyar Özçaldıran

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Reflective error: a metric for assessing predictive performance at extreme events by Robert Edwin Rouse, Henry Moss, Scott Hosking, Allan McRobie, Emily Shuckburgh

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Demand Prediction of Emergency Supplies under Fuzzy and Missing Partial Data by Ming Zhang, Hanlin Wu, Zhifeng Qiu, Yifan Zhang, Boquan Li

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Machine Learning Approaches to Predict Patient’s Length of Stay in Emergency Department by Mohammad A. Shbool, Omar S. Arabeyyat, Ammar Al-Bazi, Abeer Al-Hyari, Arwa Salem, Thana’ Abu-Hmaid, Malak Ali

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Failure Prediction of Two Types of Rocks Based on Acoustic Emission Characteristics by Bing Sun, Shanshan Hou, Jiehui Xie, Sheng Zeng

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Predicting bat roosts in bridges using Bayesian Additive Regression Trees by Jacob Oram, Amy K. Wray, Helen T. Davis, Luz A. de Wit, Winifred F. Frick, Andrew Hoegh, Kathryn M. Irvine, Patrick Pollock, Andrea N. Schuhmann, Frank C. Tousley, Brian E. Reichert

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A machine learning-powered energy consumption prediction system with API by Toyeeb Adekunle Abd’Azeez, Lanre Olatomiwa

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Improving prediction of solar radiation using Cheetah Optimizer and Random Forest. by Ibrahim Al-Shourbaji, Pramod H Kachare, Abdoh Jabbari, Raimund Kirner, Digambar Puri, Mostafa Mehanawi, Abdalla Alameen

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Comparative analysis of machine learning approaches for predicting the risk of vaginal laxity by Hongguo Zhao, Peng Liu, Fei Chen, Mengjuan Wang, Jiaxi Liu, Xiling Fu, Hang Yu, Manman Nai, Lei Li, Xinbin Li

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Predicting post-traumatic growth based on rumination-reflection in patients with cancer by Elmira Majedi, Mahdieh Salehi, Amin Rafiepoor, Afsaneh Ghanbaripanah

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Predicting early cessation of exclusive breastfeeding using machine learning techniques. by Freja Marie Nejsum, Rikke Wiingreen, Andreas Kryger Jensen, Ellen Christine Leth Løkkegaard, Bo Mølholm Hansen

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GULP1 as a novel diagnostic and predictive biomarker in hepatocellular carcinoma by Hyung Seok Kim, Jung Hwan Yoon, Ji Yi Choi, Moon Gyeong Yoon, Geum Ok Baek, Minji Kang, Se Ha Jang, Won Park, Yunjin Go, Jestlin Tianthing Ng, Suk Woo Nam, Jee-Yeong Jeong, Ji Eun Han, Hyo Jung Cho, Su Bin Lim, Soon Sun Kim, Jae Youn Cheong, Jung Woo Eun

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