Machine Learning-Based Diabetes Risk Prediction Using Associated Behavioral Features by Ayodeji O. J. Ibitoye, Joseph D. Akinyemi, Olufade F. W. Onifade

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Monitoring business structures activity to predict their development under condition of martial law by Іgor Kryvovyazyuk, Bohdan Kryvovyazyuk

“…The main purpose of the study is to monitor the business activity of industrial business structures of Ukraine to predict their development under condition of martial law. …”
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English Teaching Achievement Prediction by Big Data Analysis under Deep Intervention by Junfang Guo

“…The English teaching achievement prediction suggestion based on big data analysis is put forward, providing a reference for prediction management.…”
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Prediction of the Bandgap of a Core-Shell Microsphere via Light Intensity Fluctuations by Moon Kyu Choi, Youngjin Choi

“…This paper intends to demonstrate that it is possible to predict the bandgap of a core-shell microsphere resulting from two different bandgap materials and that the numerical simulation employed produces the blueshift.…”
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Significance of Linked Color Imaging for Predicting the Risk of Clinical Relapse in Ulcerative Colitis by Shuji Kanmura, Akihito Tanaka, Kazuki Yutsudou, Kosuke Kuwazuru, Fukiko Komaki, Yuga Komaki, Hiromichi Iwaya, Shiho Arima, Fumisato Sasaki, Shiroh Tanoue, Shinichi Hashimoto, Akio Ido

“…LCI findings, including an orange-like color lesion, have diagnostic implications for predicting the risk of clinical relapse in UC during the 1-year follow-up period.…”
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600 meters to VO2max: Predicting Cardiorespiratory Fitness with an Uphill Run by Kübra Stoican, Regina Oeschger

“…R. (2018). Actual versus predicted VO₂max: A comparison of 4 different methods. …”
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A Review of Characterization Approaches for Smallholder Farmers: Towards Predictive Farm Typologies by Devotha G. Nyambo, Edith T. Luhanga, Zaipuna Q. Yonah

“…In order to achieve predictive farm typologies, three stages in characterization are recommended as tested in smallholder dairy farmers datasets: (a) develop farm types from a comparative analysis of more than two unsupervised learning algorithms by using training models, (b) assess the training models’ robustness in predicting farm types for a testing dataset, and (c) assess the predictive power of the developed farm types from each algorithm by predicting the trend of several response variables.…”
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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

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Implementation of Process-Based and Data-Driven Models for Early Prediction of Construction Time by Silvana Petruseva, Valentina Zileska-Pancovska, Diana Car-Pušić

“…The need of respecting the construction time as one of the construction contract elements points out that early prediction of construction time is of crucial importance for the construction project participants’ business. …”
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Control of Temperature and Aluminum Fluoride Concentration Based on Model Prediction in Aluminum Electrolysis by Zeng Shuiping, Wang Shasha, Qu Yaxing

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Logistic regression in predicting bullying based on the components of emotional intelligence and spiritual intelligence. by Saeed Fakharyzade Najafabadi, Ali Mohammad Rezaei, Mohammad Ali Mohammadyfar, ,Siavash Talepasand

“…The aim of this study was to use logistic regression in predicting bullying based on the components of emotional intelligence and spiritual intelligence. …”
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A Mixed Prediction Model of Ground Subsidence for Civil Infrastructures on Soft Ground by Kiyoshi Kobayashi, Kiyoyuki Kaito

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Predictive value of serum procalcitonin level for the diagnosis of bloodstream infections in hematological patients by Qi Sun, Qingsong Lin, Yanxia Lv, Zhiying Tian, Qiushuang Yan, Yaqing Yu, Xue Fu, Hongjing Yao, Fujun Sun, Yonghui Xia, Guoqing Zhu, Sizhou Feng

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Predictive value of peripheral blood SNORD55 for prognosis of atrial fibrillation patients by WANG Yu, WANG Yu, WU Na, YANG Lanqing

“…The results of DCA showed that our combination of CHA2DS2-VASc score relative expression level of SNORD55 had higher clinical net benefits than the foreign ABC score in the prediction of the outcomes. Conclusion‍　‍Peripheral blood SNORD55 level is an independent risk factor for all-cause mortality and stroke in AF patients， and has good predictive performance for all-cause mortality and stroke in the patients. …”
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A Technique to Predict Bankruptcy Using Ultimate Ownership Network as Key Indicators by Dyah Sulistyowati Rahayu, Zaäfri Ananto Husodo, Jan Pidanic, Xue Li, Heru Suhartanto

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Development of sugar- and fat-reduced pulse cookies with improved predicted glycemic behavior by Xinying Suo, Marianna Tagliasco, Matteo Bonfini, Laura Bonfili, Oscar Moreno Araiza, Anna Baggio, Anna Maria Eleuteri, Nicoletta Pellegrini, Elena Vittadini

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Comprehensive Research of Scaling Prediction for Gas Reservoir Fluid considering Phase State by Heng Zheng, Chunsheng Pu

“…At the same time, the commonly applied scaling prediction method does not account for the fluid phase state. …”
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A new score for predicting intracranial hemorrhage in patients using anticoagulant drugs by Fuxin Ma, Zhiwei Zeng, Jiana Chen, Chengfu Guan, Wenlin Xu, Chunhua Wang, Jinhua Zhang

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A Large-Scale Spatio-Temporal Multimodal Fusion Framework for Traffic Prediction by Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao

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An efficient method for predicting the morphology of proppant packs based on a surrogate model by Tao ZHANG, Hangyu ZHOU, Yifan ZHANG, Jianchun GUO, Haoran GOU, Tang TANG

“…Intelligent proxy models for the prediction of proppant placement patterns were established on the basis of the cascade neural network, including a time-concentration model for predicting particle volume fraction and a displacement-height model for predicting particle placement height. …”
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