Comparative Subsurface Characterization Of The Quaternary And Residual Sites In Northern Peninsular Malaysia By Cumulative SPT(N) For Assesing Concrete Pile Foundat by Besenun, Nur Farah Shahirah

“…The evaluation based on the range of cumulative SPT(N) values and shape of the curve which marine clays have steeper line graph compare to laterites. The cumulative SPT(N) value for laterites were higher than for marine clays sites. …”
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The occurrence of early atrial fibrillation after cardiac valve operation and the establishment of a nomogram model by Sailan Li, Haoruo Zhang, Xiaoqin Liao, Xin Yan, Liangwan Chen, Yanjuan Lin, Yanchun Peng

“…Independent risk factors for POAF were screened using univariate analysis and binary logistic regression analysis, and a column line graph prediction model was established based on the regression analysis results, and the diagnostic efficacy and calibration of the model were evaluated using the Receiver Operating Characteristic Curve (ROC) and calibration curve.ResultsA total of 2,340 patients underwent valve surgery, excluding 1,751 patients, a total of 589 patients were included, including 89 patients in POAF group and 500 patients in NO-POAF group. …”
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Machine learning-based characterization of cuprotosis-related biomarkers and immune infiltration in Parkinson’s disease by Songyun Zhao, Li Zhang, Wei Ji, Yachen Shi, Guichuan Lai, Hao Chi, Weiyi Huang, Chao Cheng

“…Patients could benefit clinically from a characteristic line graph based on these genes. Consistent clustering analysis identified two subtypes, with the C2 subtype exhibiting higher immune cell infiltration and immune function.Conclusion: In conclusion, our study reveals that several newly identified cuprotosis-related genes intervene in the progression of Parkinson’s disease through immune cell infiltration.…”
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Construction and Assessment of a Prognostic Risk Model for Cervical Cancer Based on Lactate Metabolism-Related lncRNAs by Gao Y, Liu H, Wan J, Chang F, Zhang L, Wang W, Zhang Q, Feng Q

“…To assess the clinical utility of the prognostic model, we performed functional enrichment analysis, immune microenvironment analysis, mutation analysis, and column line graph generation.Results: We constructed a prognostic model consisting of 10 LRLs at CC. …”
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A clinical model to predict the progression of knee osteoarthritis: data from Dryad by Lianwei Shen, Shouwei Yue

“…External validation of the metabolic syndrome column-line graph prediction model was performed by the validation set. …”
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Establishment and Validation of Prediction Models for Non-curative Resection After ESD for Early Gastric Cancer by DONG Na, MA Ganqing, WANG Lulu, SHI Ronghui, FENG Jie, HUANG Xiaojun

“…The area under the curve of ROC validated within the column-line graph prediction model constructed accordingly was 0.867 (95% CI: 0.811-0.923), the calibration curve showed that the model had good calibration, and decision curve analysis showed the model had a good clinical usefulness.  …”
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Construction of a mortality risk prediction model for elderly people at risk of lobectomy for NSCLC by Hongzhen Zhang, Dingfei Ren, Danqing Cheng, Wenping Wang, Yongtian Li, Yisong Wang, Dekun Lu, Feng Zhao

“…The above factors were imported into R software to construct a line graph model for predicting the risk of postoperative death in elderly patients with NSCLC. …”
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A risk nomogram for predicting prolonged intensive care unit stays in patients with chronic obstructive pulmonary disease by Hongtao Cheng, Jieyao Li, Fangxin Wei, Xin Yang, Shiqi Yuan, Xiaxuan Huang, Fuling Zhou, Jun Lyu, Jun Lyu

“…BackgroundProviding intensive care is increasingly expensive, and the aim of this study was to construct a risk column line graph (nomograms)for prolonged length of stay (LOS) in the intensive care unit (ICU) for patients with chronic obstructive pulmonary disease (COPD).MethodsThis study included 4,940 patients, and the data set was randomly divided into training (n = 3,458) and validation (n = 1,482) sets at a 7:3 ratio. …”
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The influence of first wave of COVID-19 outbreak on routine healthcare services, Liberia, August 2020: a mixed study approach by Obafemi J. Babalola, Himiede W. Sesay, Lily S. Blebo, Faith K. Whesseh, Chukwuma D. Umeokonkwo, Peter A. Adewuyi, Maame Amo-Addae

“…We performed a descriptive analysis of quantitative data and plotted the line graph of the relative percentage change. Transcribed audio recording notes were synthesized using ATLAS ti for content analysis to identify the themes and subthemes in line with the study objectives and excerpts presented in the results. …”
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Automatic detection of mild cognitive impairment based on deep learning and radiomics of MR imaging by Mingguang Yang, Shan Meng, Faqi Wu, Feng Shi, Yuwei Xia, Junbang Feng, Jinrui Zhang, Chuanming Li

“…Decision curve analysis showed that the clinical benefit of the line graph model was high.ConclusionThe GP classifier based on 15 radiomics features of bilateral hippocampal and parahippocampal gyrus could detect MCI from normal controls with high accuracy based on conventional MR images. …”
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Construction and validation of a predictive model for the risk of peritoneal dialysis-associated peritonitis after peritoneal dialysis catheterization by Rong Dai, Chuyi Peng, Tian Sang, Meng Cheng, Yiping Wang, Lei Zhang

“…The DCA curves indicated that the threshold probabilities for the training and validation cohorts were 4–64% and 3–90%, respectively, predicting a good net gain for the clinical model.ConclusionNLR, ALB, UA, hsCRP, and DM are independent predictors of PDAP after PD catheterization. The column line graph model constructed based on the abovementioned factors has good discriminatory and calibrating ability and helps to predict the risk of PDAP after PD catheterization.…”
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The Effect of Cognitive Behavior Therapy (CBT) Individual Settings to Recude Truancy Behavior by Sri Rahayu Monica, Wahidah Fitriani, Masril Masril

“…Data analysis was carried out by means of a line graph in order to be able to see firsthand the changes that occurred from the phase conditions. …”
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Construction of a prediction model for rebleeding in patients with acute upper gastrointestinal bleeding by Yangping Zhuang, Shaohuai Xia, Junwei Chen, Jun Ke, Shirong Lin, Qingming Lin, Xiahong Tang, Hanlin Huang, Nan Zheng, Yi Wang, Feng Chen

“…A receiver operating characteristic curve, a line graph, and a calibration and decision curve were used to assess the predictive performance of our new prediction model and compare its performance with that of the AIMS65 scoring system to determine the predictive value of our prediction model. …”
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Associations of urinary sodium excretion with central hemodynamics and changes in vascular structure and function at high altitude by Zhipeng Zhang, Hang Liao, Xin Zhang, Qingtao Meng, Rufeng Shi, Jiayue Feng, Xinran Li, Qiling Gou, Runyu Ye, Xianjin Hu, Xiaoping Chen

“…After adjustment, estimated 24h urinary sodium was positively associated with CSBP (β = 1.15, p = .008) and CPP (β = 0.87, p = .013). Line graph of means across urinary sodium quartiles showed that associations of 24 h urinary sodium excretion with AIx75 and baPWV presented approximate “J” shape after controlling for confounders. …”
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Automatic diagnosis of Parkinson’s disease using artificial intelligence base on routine T1-weighted MRI by Chang Li, Dongming Hui, Faqi Wu, Yuwei Xia, Feng Shi, Mingguang Yang, Jinrui Zhang, Chao Peng, Junbang Feng, Chuanming Li

“…Decision curve analysis showed that the clinical benefit of the line graph model was high.ConclusionThe SVM model based on combined features could be used to diagnose PD with high accuracy. …”
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Risk Factors and Predictive Nomogram for Carbapenem-Resistant Klebsiella pneumoniae in Children in a Grade 3 First-Class General Hospital in Central China by Chu X, Ning L, Fang Y, Jia H, Wang M

“…Xinmin Chu,1 Lijuan Ning,2,3,* Yuting Fang,2,3,* Hengmin Jia,4 Meng Wang2,3 1Department of Clinical Laboratory, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, People’s Republic of China; 2Department of Pharmacy, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, People’s Republic of China; 3Anhui Provincial Key Laboratory of Precision Pharmaceutical Preparations and Clinical Pharmacy, Hefei, Anhui, 230001, People’s Republic of China; 4Department of Infection Office, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, People’s Republic of China*These authors contributed equally to this workCorrespondence: Meng Wang, Department of Pharmacy, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, People’s Republic of China, Email jgwangmeng@outlook.comBackground: This study determined risk factors for Carbapenem-resistant Klebsiella pneumoniae (CRKP)in children admitted to a grade 3 first-class general hospital and developed an individualized line graph predictive model.Methods: The clinical data of 185 children infected with Klebsiella pneumoniae from January 2015 to December 2019 were analyzed retrospectively. …”
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Contextual Disparity on Trend and Determinants of Optimal Antenatal Care (ANC4+) Use for Women in Eastern Tigray, Ethiopia: Evidence from KA-HDSS Database by Gezae KE, Berhie KA, Gebresilassie AA, Tsadik M

“…A pregnancy database was used as a source of data. A Line graph was used to depict the trend of ANC4+ use. …”
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Uncovering the potential role of oxidative stress in the development of periodontitis and establishing a stable diagnostic model via combining single-cell and machine learning anal... by Guobin Song, Gaoge Peng, Jinhao Zhang, Binyu Song, Jinyan Yang, Xixi Xie, Siqi Gou, Jing Zhang, Guanhu Yang, Hao Chi, Gang Tian

“…Finally, we used single-cell data to screen the cellular subpopulations with the highest correlation by scoring oxidative stress genes and performed a proposed temporal analysis of the subpopulations.ResultsWe discovered 3 periodontitis-associated genes (CASP3, IL-1β, and TXN). A characteristic line graph based on these genes can be helpful for patients. …”
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Accelerating defect predictions in semiconductors using graph neural networks by Md Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, Satyesh Kumar Yadav, Ghanshyam Pilania, Brian DeCost, Kamal Choudhary, Arun Mannodi-Kanakkithodi

“…We applied three types of established GNN techniques, namely crystal graph convolutional neural network, materials graph network, and Atomistic Line Graph Neural Network (ALIGNN), to rigorously train models for predicting defect formation energy (DFE) in multiple charge states and chemical potential conditions. …”
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Severe Symptomatic Epidural Hematoma Following Percutaneous Endoscopic Unilateral Laminectomy for Bilateral Decompression (Endo‐ULBD)—Series Report and Management Strategies by Antao Lin, Shengwei Meng, Chao Wang, Xiaodan Zhao, Shuo Han, Hao Zhang, Yanqing Shen, Kai Zhu, Dan Zhou, Kunpeng Su, Xuexiao Ma, Chuanli Zhou

“…The incidence of hematoma with different factors was calculated, and a bar graph was used to compare the difference of the indexes related to hematoma removal between cases, and a line graph was used to reflect the trend of the outcome of each patient within 6 months to evaluate the effect of the treatment. …”
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