Prognostic Prediction Value of qSOFA, SOFA, and Admission Lactate in Septic Patients with Community-Acquired Pneumonia in Emergency Department by Haijiang Zhou, Tianfei Lan, Shubin Guo

“…The prognostic prediction performance of the combination of qSOFA and admission lactate was comparable to the full version of SOFA (AUROC 0.833 vs. 0.795, Z = 1.378, P=0.168 in predicting 28-day mortality; AUROC 0.868 vs. 0.895, Z = 1.022, P=0.307 in predicting ICU admission; AUROC 0.868 vs. 0.845, Z = 0.921, P=0.357 in predicting mechanical ventilation; AUROC 0.875 vs. 0.821, Z = 2.12, P=0.034 in predicting vasopressor use). …”
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Development and validation of a prognostic prediction model for elderly gastric cancer patients based on oxidative stress biochemical markers by Xing-Qi Zhang, Ze-Ning Huang, Ju Wu, Chang-Yue Zheng, Xiao-Dong Liu, Ying-Qi Huang, Qi-Yue Chen, Ping Li, Jian-Wei Xie, Chao-Hui Zheng, Jian-Xian Lin, Yan-Bing Zhou, Chang-Ming Huang

“…Abstract Background The potential of the application of artificial intelligence and biochemical markers of oxidative stress to predict the prognosis of older patients with gastric cancer (GC) remains unclear. …”
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Expression of LINC00847 in Peripheral Blood Mononuclear Cells of Children with Asthma and Its Prediction between Asthma Exacerbation and Remission by Jiaying Hu, Zhike Wang, Suzhen Han, Kai Chen

“…The study demonstrates that increased LINC00847 expression may be associated with the development and progression of asthma, possibly serving as a novel biomarker for predicting asthma exacerbation from asthma remission.…”
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Dynamic functional connectivity patterns predict early antidepressant treatment response in drug-naïve, first-episode adolescent MDD by Maojia Ran, Hang Zhang, Meijiang Jin, Yuanmei Tao, Hanmei Xu, Shoukang Zou, Zhujun Wang, Fang Deng, Lijuan Huang, Hong Zhang, Xiaowei Tang, Yanping Wang, Xia Fu, Li Yin, Li Yin, Li Yin

“…And the mean dFC values between right IFG and bilateral IC (right, β = −1.563, p-FDR = 0.021; left, β = −1.868, p-FDR = 0.012) at baseline could predict antidepressant treatment response.ConclusionThese findings demonstrate that dFC patterns between some brain areas could be a prospective factor for predicting antidepressant treatment response.…”
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Construction and Validation of a Model for Predicting Fear of Childbirth: A Cross-Sectional Population Study via Machine Learning by Zhang ZL, Chen KJ, Chen H, Zhu MM, Gu JJ, Jiang LS, Zheng L, Zhou SG

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DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks by Guang Yang, Yinbo Liu, Sijian Wen, Wenxi Chen, Xiaolei Zhu, Yongmei Wang

Subjects: “…DTIs prediction…”
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Construction and validation of nomograms to predict central lymph node metastasis in clinical node-negative unilateral papillary thyroid carcinoma by Longqing Hu, Bei Qian, Junlin Zhu, Shuting Gao, Li Mei, Shengnan Ruan, Xincai Qu

“…This study aims to build and validate a model for predicting central lymph node metastasis (CLNM) in UPTC patients through preoperative basic information and intraoperative rapid frozen pathology results. …”
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Predicting academic procrastination based on academic resilience, intolerance of uncertainty, positive and negative perfectionism: The mediating role of experiential avoidance by Mohammad Soltanizadeh, Sara Mortazavian, Zohreh Latifi

“…This study aimed to predict academic procrastination based on academic resilience, intolerance of uncertainty, and positive and negative perfectionism with the mediating role of experiential avoidance. …”
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A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction by SongTao Zhang, LiHong Yang

“…Abstract This study introduces a hybrid data assimilation method that significantly improves the predictive accuracy of the time-dependent Susceptible-Exposed-Asymptomatic-Infected-Quarantined-Removed (SEAIQR) model for epidemic forecasting. …”
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The CYP2C19*1/*2 Genotype Does Not Adequately Predict Clopidogrel Response in Healthy Malaysian Volunteers by Yanti Nasyuhana Sani, Lim Sheau Chin, Lim Luen Hui, Nur Elyana Yazmin Mohd Redhuan Shah Edwin, Goh Teck Hwa, Victor L. Serebruany, Yuen Kah Hay

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Neutrophil to Lymphocyte Ratio Predicts Adverse Cardiovascular Outcome in Peritoneal Dialysis Patients Younger than 60 Years Old by Yingsi Zeng, Zijun Chen, Qinkai Chen, Xiaojiang Zhan, Haibo Long, Fenfen Peng, Fengping Zhang, Xiaoran Feng, Qian Zhou, Lingling Liu, Xuan Peng, Evergreen Tree Nephrology Association, Guanhua Guo, Yujing Zhang, Zebin Wang, Yueqiang Wen, Jiao Li, Jianbo Liang

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Genome-Wide Association Study towards Genomic Predictive Power for High Production and Quality of Milk in American Alpine Goats by Y. Tilahun, T. A. Gipson, T. Alexander, M. L. McCallum, P. R. Hoyt

“…The initial dataset was composed of ~60,000 rows of SNPs and 21 columns of phenotypic traits and composed of 53,384 scaffolds containing other informative data points used for genomic predictive power. Phenotypic association with the 50K BeadChip revealed 26,074 reads of candidate genes. …”
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Publisher Correction: Optimization and prediction of paver block properties with ceramic waste as fine aggregate using response surface methodology by G. Uday Kiran, Nakkeeran G., Dipankar Roy, George Uwadiegwu Alaneme

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Predicting branch retinal vein occlusion development using multimodal deep learning and pre-onset fundus hemisection images by Eun Young Choi, Dongyoung Kim, Jinyeong Kim, Eunjin Kim, Hyunseo Lee, Jinyoung Yeo, Tae Keun Yoo, Min Kim

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Using CVIS to Improve Bus Schedule Adherence: A Predictive Control Strategy and Its Hardware-in-the-Loop Field Tests by Wei Yin, Jing Teng, Xiaoguang Yang, H. Michael Zhang

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Prognostic and Predictive Value of CpG Island Methylator Phenotype in Patients with Locally Advanced Nonmetastatic Sporadic Colorectal Cancer by Yuwei Wang, Yadong Long, Ye Xu, Zuqing Guan, Peng Lian, Junjie Peng, Sanjun Cai, Guoxiang Cai

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Sustainable PV-hydrogen-storage microgrid energy management using a hierarchical economic model predictive control framework by Xinyu Guo, Faying Gu, Hongxu Liu, Yongcheng Yu, Runjie Li, Juan Wang

Subjects: “…Hierarchical economic model predictive control…”
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Prediction accuracy of discrete choice experiments in health-related research: a systematic review and meta-analysisResearch in context by Ying Zhang, Thi Quynh Anh Ho, Fern Terris-Prestholt, Matthew Quaife, Esther de Bekker-Grob, Peter Vickerman, Jason J. Ong

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Prediction of Soil Organic Carbon Content in <italic>Spartina alterniflora</italic> by Using UAV Multispectral and LiDAR Data by Jiannan He, Yongbin Zhang, Mingyue Liu, Lin Chen, Weidong Man, Hua Fang, Xiang Li, Xuan Yin, Jianping Liang, Wenke Bai, Fuping Li

“…We compared the predictive performance of these different machine learning algorithms to identify the most effective one. …”
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Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effects by Tingjing Geng, Hongfu Qiang, Heyang Miao, Xueren Wang, Zhejun Wang, Huimin Zhang

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