A Novel Predictive Model in Recognizing Severe COVID-19 and Multiorgan Injuries: Platelet-to-CRP Ratio by Wei Chen, Kenneth I. Zheng, Saiduo Liu, Chongyong Xu, Chao Xing, Zengpei Qiao

“…In view of the emerging virus variations and pandemic worldwide, it is urgent to explore effective models predicting disease severity. Methods. We aimed to investigate whether platelet-to-CRP ratio (PC ratio) could predict the severity of COVID-19 and multi-organ injuries. …”
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Finite Control Set Model Predictive Control for Complex Energy System with Large-Scale Wind Power by Yang-Wu Shen, Jin-Rong Yuan, Fei-Fan Shen, Jia-Zhu Xu, Chen-Kun Li, Ding Wang

“…To overcome these issues, a finite control set model predictive control-based advanced control strategy is proposed. …”
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Distributed coordinated control for voltage regulation in active distribution networks based on robust model predictive control by Guocheng Song, Qiuwei Wu, Wenshu Jiao, Lina Lu

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Machine learning predictive model for aspiration risk in early enteral nutrition patients with severe acute pancreatitis by Bo Zhang, Huanqing Xu, Qigui Xiao, Wanzhen Wei, Yifei Ma, Xinlong Chen, Jingtao Gu, Jiaoqiong Zhang, Lan Lang, Qingyong Ma, Liang Han

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Predictive value of the stone-free rate after percutaneous nephrolithotomy based on multiple machine learning models by Zhao Rong Liu, Zhao Rong Liu, Zhan Jiang Yu, Jie Zhou, Jian Biao Huang

“…For the top-performing prediction model, the study further employed the SHapley Additive exPlanations (SHAP) method to enhance model interpretability by elucidating the contribution of individual features to the prediction outcomes and ranking the relative importance of the predictive data. …”
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Multistep Finite Control Set Model Predictive Control of Photovoltaic Power Generation System with Harmonic Compensation by Xuejiao Gong, Shifeng Hu, Ruijin Zhu

“…To improve the dynamic performance of the grid-connected PV system and harmonic compensation simultaneously, multistep finite control set model predictive control (FCS-MPC) is adopted for the grid-connected module. …”
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Video-Driven Artificial Intelligence for Predictive Modelling of Antimicrobial Peptide Generation: Literature Review on Advances and Challenges by Jielu Yan, Zhengli Chen, Jianxiu Cai, Weizhi Xian, Xuekai Wei, Yi Qin, Yifan Li

“…By integrating video analysis with computational modelling, researchers can visualise and quantify AMP–microbe interactions at unprecedented levels of detail, thereby informing both experimental design and the refinement of predictive algorithms. …”
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Implementation of Finite Control Set Model Predictive Control (FCS-MPC) for Five-Phase Induction Motors by Abdelfattah Hoggui, Ali Benachour, Mohamed Chafaa Madaoui, Mohand Oulhadj Mahmoudi

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Risk Factors of Positive Endocervical Curettage and Predictive Model Construction Based on Primary Human Papillomavirus Screening by Hangjing Gao MS, Guanxiang Huang MS, Binhua Dong MS, Ye Li MS, Hongning Cai MD, Xianqian Chen MS, Tingting Jiang MS, Kelvin Stefan Osafo MS, Dabin Liu MS, Jiancui Chen MS, Huihua Ge MS, Diling Pan MS, Huifeng Xue MS, Pengming Sun PhD, MD

“…Logistic regression was used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs). The prediction model was presented as a nomogram and evaluated for discrimination and calibration. …”
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Time‐optimal finite control set model predictive control of non‐isolated DC–DC converters by Thibaut Harzig, Brandon Grainger

“…Abstract The authors propose a time‐optimal finite control‐set model predictive control (FCS‐MPC) formulation, generalised to the three most common non‐isolated DC–DC converters (buck, boost, buck–boost) tracking a constant switching frequency. …”
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Predictive model for assessment of ICU delirium among patients in critical care units: Prospective observational study by Anushree Naik, Melita Sheilini, Souvik Chaudhuri, Megha Sharma, R Vani Lakshmi

“…However, its accurate prediction at the optimal time is often missed. The study predicted ICU delirium among patients admitted into intensive care units (ICU) by using PRE-DELIRIC and E-PRE-DELIRIC models and compared the performance of these models in identifying the predictors of this condition. …”
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A predictive machine-learning model for clinical decision-making in washed microbiota transplantation on ulcerative colitis by Sheng Zhang, Gaochen Lu, Weihong Wang, Qianqian Li, Rui Wang, Zulun Zhang, Xia Wu, Chenchen Liang, Yujie Liu, Pan Li, Quan Wen, Bota Cui, Faming Zhang

“…Model ensembles based on the clinical indicators were constructed by machine-learning to predict the clinical response of WMT after one month.ResultsA total of 366 patients were enrolled in this study, with 210 patients allocated for training and internal validation, and 156 patients for external validation. …”
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Predictive modeling of pregnancy outcomes utilizing multiple machine learning techniques for in vitro fertilization-embryo transfer by Ru Bai, Jia-Wei Li, Xia Hong, Xiao-Yue Xuan, Xiao-He Li, Ya Tuo

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Development and Validation of a Predictive Model Using Inflammatory Biomarkers for Active Tuberculosis Risk in Diabetic Patients by Zhang X, Fu H, Li J, Yan J, Huang J, Xu Z, Li M, Qian M, Wang L, Li H, Du Y

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Predictive value of models based on MRI radiomics and clinical indicators for lymphovascular space invasion in endometrial cancer by Wenwen Ma, Weijing Meng, Jinfeng Yin, Jie Liang, Xizhen Wang, Jingang Liu, Fuyan Shi

“…A nomogram was constructed based on the optimal model. The diagnostic efficacy of the five models was evaluated using area under the curve. …”
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Evaluation of the effectiveness of an intervention strategy in a control simulation experiment through comparison with model predictive control by R. Nagai, Y. Bai, M. Ogura, M. Ogura, S. Kotsuki, S. Kotsuki, N. Wakamiya

“…This study evaluates CSE's efficacy against model predictive control (MPC), a well-established method in control engineering. …”
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Integrated multi-omics analysis and predictive modeling of heart failure using sepsis-related gene signature. by Yiping Lang, Tianyu Liang, Fei Li

“…This study aimed to develop a predictive model for HF based on sepsis-related gene signatures.…”
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Metabolic syndrome as a prognostic factor in advanced pancreatic cancer: a predictive model and chemotherapy evaluation by Jingchang Zhang, Jianbiao Li, Huiting Deng, Yongfu Zhao, Ye Zhang

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Developing predictive models for tocilizumab response in rheumatoid arthritis: a gene expression and machine learning approaches by Weiya Lan, Wei Du, Wukai Ma, Xueming Yao, Zong Jiang, Jing Zhou, Changming Chen, Chunxia Wang, Fang Tang

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Creation and verification of a predictive nomogram model for the incidence of social isolation among China’s older population by Mei You, Yuan Ding, Zixuan Wei, Nannan Han, Annuo Liu

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