Predicting financial distress in high-dimensional imbalanced datasets: a multi-heterogeneous self-paced ensemble learning framework by Ruize Gao, Shaoze Cui, Yu Wang, Wei Xu

Subjects: “…Financial distress prediction…”
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How does the rise in contraceptive usage predict pregnancy termination among young women in Kenya? an in-depth multilevel analysis by Stephen Okechukwu Chukwudeh, Obasanjo Afolabi Bolarinwa, Oluwatobi Abel Alawode, David Olawade, Sinegugu Shongwe, Ritika Tiwari

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Optimization of dried garlic physicochemical properties using a self-organizing map and the development of an artificial intelligence prediction model by Hany S. El-Mesery, Mohamed Qenawy, Mona Ali, Merit Rostom, Ahmed Elbeltagi, Ali Salem, Abdallah Elshawadfy Elwakeel

“…Artificial Neural Network (ANN) with 99% predicting accuracy and Self-Organizing Maps (SOM) with 97% clustering accuracy were used to determine the quality characteristics of garlic. …”
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Weather Conditions (with Focus on UV Radiation) Associated with COVID-19 Outbreak and Worldwide Climate-based Prediction for Future Prevention by Lucian Sfîcă, Mihai Bulai, Vlad-Alexandru Amihăesei, Constantin Ion, Marius Ștefan

“…Our results, which focused on the role of the UV solar radiation, could be used as a prediction tool for identifying the world regions with a higher risk of future faster increase in COVID-19 cases.…”
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AI-based carbon peak prediction and energy transition optimization for thermal power industry in energy-intensive regions of China by Chenhao Huang, Zhongyang Lin, Jian Wu, Penghan Li, Chaofeng Zhang, Yanzhao Liu, Weirong Chen, Xin Xu, Jinsong Deng

“…Secondly, multi-scenario predictions of carbon emissions from the thermal power industry were conducted based on robust Random Forest models. …”
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IAPCP: An Effective Cross-Project Defect Prediction Model via Intra-Domain Alignment and Programming-Based Distribution Adaptation by Nana Zhang, Kun Zhu, Dandan Zhu

“…Cross-project defect prediction (CPDP) aims to identify defect-prone software instances in one project (target) using historical data collected from other software projects (source), which can help maintainers allocate limited testing resources reasonably. …”
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A risk signature constructed by Tregs-related genes predict the clinical outcomes and immune therapeutic response in kidney cancer by Gang Li, Jingmin Cui, Tao Li, Wenhan Li, Peilin Chen

“…The risk model could predict the prognosis of RCC patients well, high risk patients show a poorer outcomes than low risk patients. …”
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Preoperative Blood Glucose Level Predicts Postsurgical Gastroparesis Syndrome after Subtotal Gastrectomy: Development of an Individualized Usable Nomogram by Chenchen Mao, Xin Liu, Yunshi Huang, Mingming Shi, Weiyang Meng, Libin Xu, Weisheng Chen, Yuanbo Hu, Xinxin Yang, Xiaodong Chen, Xian Shen

“…Preoperative hyperglycemia effectively predicts PGS. We present a nomogram incorporating the preoperative blood glucose level, BMI, anastomotic method, and tumor size, for individualized prediction of PGS.…”
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High FGF18 expression levels predict poor prognosis in endometrial carcinoma patients and promote tumor growth and metastasis by Zheng-Yao Lei, Jian Wu, Bao-Hua Zhang, Wei Xiang, Min Wang, Bin-bin Li, Ming-Cheng Dai

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Prediction of Survival Outcomes in Patients with Glioma Using Magnetic Resonance Imaging (MRI): A Systematic Review and Meta-Analysis by Mingfang Hu, Jinge Li, Zhangyu Li, Jian Shen

“…Conclusions: The present meta-analysis highlighted the ability of MRI to predict PFS and overall survival in patients with gliomas. …”
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Prognostic Factors and a Predictive Nomogram of Cancer-Specific Survival of Epithelial Ovarian Cancer Patients with Pelvic Exenteration Treatment by Ting Wang, Xin Fu, Lei Zhang, Shuna Liu, Ziqi Tao, Fang Wang

“…The predictive power of the constructed nomogram was assessed by the time-dependent receiver operating characteristic (ROC) curve. …”
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Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysisResearch in context by Xiaoqing Huang, Xiaodan Di, Suiwen Lin, Minrong Yao, Suijin Zheng, Shuyi Liu, Wayan Lau, Zhixin Ye, Zilian Wang, Bin Liu

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GutBugDB: a web resource to predict the human gut microbiome-mediated biotransformation of biotic and xenobiotic molecules by Usha Longwani, Ashok K. Sharma, Aditya S. Malwe, Shubham K. Jaiswal, Vineet K. Sharma

“…Here we present “GutBugDB,” an open-access digital repository that provides information on potential gut microbiome-mediated biotransformation of biotic and xenobiotic molecules using the predictions from the GutBug tool. This database is constructed using metabolic proteins from 690 gut bacterial genomes and 363,872 protein enzymes assigned with their EC numbers (with representative Expasy ID and domains present). …”
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Experimental Study and Prediction Model of the Flexural Strength of concrete Containing Fly Ash and Ground Granulated Blast-Furnace Slag by Hua Zhang, Qing-Fu Li, Hua-De Zhou, Zong-Ming Song

“…A flexural strength prediction model of the concrete was developed based on a backpropagation neural network (BPNN) and a support vector machine (SVM) model. …”
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TP53 Mutation Predicts Worse Survival and Earlier Local Progression in Patients with Hepatocellular Carcinoma Treated with Transarterial Embolization by Ken Zhao, Anita Karimi, Luke Kelly, Elena Petre, Brett Marinelli, Erica S. Alexander, Vlasios S. Sotirchos, Joseph P. Erinjeri, Anne Covey, Constantinos T. Sofocleous, James J. Harding, William Jarnagin, Carlie Sigel, Efsevia Vakiani, Etay Ziv, Hooman Yarmohammadi

“…The cumulative incidences of local progression at 6 and 12 months for TP53-mutant HCC were 65.4% and 84.6%, versus 40.8% and 55.1% for TP53 wild-type HCC (<i>p</i> = 0.0072). A TP53 mutation may predict a worse overall survival and a shorter time to local progression in HCC patients treated with TAE.…”
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Pretest Score for Predicting Microbubble Contrast Agent Use in Stress Echocardiography: A Method to Increase Efficiency in the Echo Laboratory by Mathieu Bernier, Sahar S. Abdelmoneim, Stuart Moir, Robert B. McCully, Patricia A. Pellikka, Sharon L. Mulvagh

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Retracted: Preoperative Nutritional Risk Assessment for Predicting Complications after Radical Cystectomy plus Urinary Diversion for Bladder Cancer by Emergency Medicine International

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Prediction of Mechanical Properties of Aluminium Alloy Strip Using the Extreme Learning Machine Model Optimized by the Gray Wolf Algorithm by Zhenqiang Xiong, Jiadong Li, Peng Zhao, Yong Li

“…This paper proposes a mechanical performance prediction model based on the Gray Wolf Optimization (GWO) algorithm and the Extreme Learning Machine (ELM) algorithm. …”
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γ-Gammaglutamyl transferase predicts all-cause mortality within three-year intervals in patients undergoing peritoneal dialysis by Yan-Bing Chen, Xiao-Jiang Zhan, Jun Xiao, Heng-Mei Zhu

“…This study aimed to assess the prognostic significance of γ-GGT in predicting all-cause and cardiovascular mortality among PD patients.Methods A retrospective study was conducted, enrolling 640 PD patients from a single center. …”
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The infiltration risk prediction models by logistic regression for ground-glass pulmonary nodules: a systematic review and meta-analysis by Mengqian Li, Mengqian Li, Xiaomei Zhang, Yuxin Lai, Yunlong Sun, Tianshu Yang, Xinlei Tan

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