The systemic oxidative stress index predicts clinical outcomes of esophageal squamous cell carcinoma receiving neoadjuvant immunochemotherapy by Jifeng Feng, Jifeng Feng, Liang Wang, Xun Yang, Qixun Chen, Qixun Chen

“…Independent variable determination was executed using a cox regression analysis. For prognostic prediction, a risk categorization method based on recursive partitioning analysis (RPA) was also created.ResultsFour SOS-related indicators, including albumin, creatinine, blood urea nitrogen, and direct bilirubin, were used to establish the SOSI. …”
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The Daily Container Volumes Prediction of Storage Yard in Port with Long Short-Term Memory Recurrent Neural Network by Yinping Gao, Daofang Chang, Ting Fang, Yiqun Fan

“…The comparison between LSTM and other prediction methods like ARIMA model and BP neural network is also provided in this study, and the prediction gap of LSTM is lower than other methods. …”
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Short-Term Inbound and Outbound Passenger Flow Prediction for New Metro Stations Based on Clustering and Deep Learning by Zihe Wang, Yongsheng Zhang, Enjian Yao, Yue Wang, Juncheng Li, Jiantao He

“…Due to the lack of historical data and complicate variations of short-term passenger flow in the early stage of operation, it is difficult to accurately predict inbound and outbound passenger flows of new metro stations in the short term, which would be the database for train scheduling for new stations before operation, dynamic capacity optimization for new stations under operation, short-term prediction of cycle sharing demands near new stations, and so on. …”
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Simulation and prediction of the expansion of OpenStreetMap building data based on the Markov-FLUS model in Shenzhen, China by Sidan Chen, Lingjia Liu, Kaixiang Li, Xiaohui Ding, Wei Jiang

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Predicting the Spatial-Temporal Distribution of Human Brucellosis in Europe Based on Convolutional Long Short-Term Memory Network by Li Shen, Chenghao Jiang, Minghao Sun, Xuan Qiu, Jiaqi Qian, Shuxuan Song, Qingwu Hu, Heilili Yelixiati, Kun Liu

“…Compared with the monthly scale, the prediction of the trend stage of brucellosis can achieve better results under the single model prediction. …”
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NEK4: prediction of available drug targets and common genetic linkages in bipolar disorder and major depressive disorder by Bin Gong, Chenxu Xiao, Yu Feng, Yu Feng, Jing Shen

“…This will provide clues to potential drug targets.MethodsThis study employed genome-wide association studies (GWAS) and summary-data-based Mendelian randomization (SMR) methods to investigate the genetic underpinnings of patients with bipolar disorder (BD) and major depressive disorder (MDD) and to predict potential drug target genes. Genetic variants associated with BD and MDD were identified through large-scale GWAS datasets. …”
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Diagnostic accuracy of calculated serum osmolarity to predict dehydration in older people: adding value to pathology laboratory reports by Lee Shepstone, John F Potter, Lee Hooper, Asmaa Abdelhamid, Amy Jennings, Paul R Hunter, W Garry John, Neil P Walsh, Adam Ali, Diane K Bunn, Susan Kerry, Gregor Lindner, Carmen A Pfortmueller, Fredrik Sjöstrand, Susan J Fairweather-Tait

“…Of 39 osmolarity equations, 5 showed reasonable agreement with directly measured osmolality and 3 had good predictive accuracy in subgroups with diabetes and poor renal function. …”
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STGNN-FAM: A Traffic Flow Prediction Model for Spatiotemporal Graph Networks Based on Fusion of Attention Mechanisms by Xueying Qi, Weijian Hu, Baoshan Li, Ke Han

“…Network traffic state prediction has been constantly challenged by complex spatiotemporal features of traffic information as well as imperfection in streaming data. …”
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Simulation and prediction of land use and land cover change using GIS, remote sensing and CA-Markov model by H.A. Khawaldah, I. Farhan, N.M. Alzboun

“…This study analyzes the characteristics of land use/land cover change in Jordan’s Irbid governorate, 1984–2018, and predicts future land use/land cover for 2030 and 2050 using a cellular automata-Markov model. …”
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Predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma by Chen Wang, Yongyong Huang, Shiyun Liao, Jiming Song

“…ROC analysis of SII combined with blood coagulation index to predict traumatic coagulation in patients with severe trauma. …”
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Prediction of postoperative myocardial injury in patients undergoing laparoscopic pheochromocytoma/paraganglioma resection: protocol for an ambispective cohort study by Yuguang Huang, Yuelun Zhang, Ling Lan, Yi Zhang, Ye Ma, Le Shen, Yifei Zhao, Yaohan Li

“…Multivariate logistic regression will be used to develop the prediction model, which will be presented as a nomogram. …”
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Tree Growth Prediction in Relation to Simple Set of Site Quality Indicators for Six Native Tree Species in the Philippines by F. Santos Martin, B. Lusiana, M. van Noordwijk

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Critical signals for grassland desertification prediction in the transition zone between desert and typical steppe in InnerMongolia, China by Baoping Meng, Zhuoyan Jin, Jin Chen, Yili Kuang, Shuhua Yi, Yanyan Lv, Jinrong Li

“…Understanding the relations between patch features and plant species diversity are crucial for the early prediction of desertification. In this research, the transition zone between desert and typical steppe in Inner Mongolia, China was studied. …”
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An Improved Predictive Model for Determining the Permeability Coefficient of Artificial Clayey Soil Based on Double T2 Cut-Offs by Zhen Lu, Aimin Sha, Junfeng Gao, Meng Jia, Wentong Wang

“…Compared with the typical TC model, the prediction accuracy of the improved model was much higher. …”
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Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm by G. Ayappan, S. Anila

Subjects: “…COVID-19 detection and prediction…”
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FAN score predicts prognosis after platinum-based first-line chemotherapy in patients with metastatic urothelial carcinoma by Yu Ishizuya, Atsunari Kawashima, Yuki Horibe, Akinaru Yamamoto, Masaru Tani, Akihiro Yoshimura, Liu Yutong, Sassi Nesrine, Toshiki Oka, Yohei Okuda, Toshihiro Uemura, Gaku Yamamichi, Takuji Hayashi, Yoshiyuki Yamamoto, Taigo Kato, Koji Hatano, Norio Nonomura

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Optimization of Forging Process Parameters and Prediction Model of Residual Stress of Ti-6Al-4V Alloy by Xiurong Fang, Liu Liu, Jia Lu, Yang Gao

“…Results show that the prediction model can be used for predicting the residual stress of Ti-6Al-4V alloy forgings with a higher reliability.…”
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Clinical Significance of the Peripheral Blood Neutrophil-to-Lymphocyte Ratio in Predicting Chemotherapy Outcomes for Small Cell Lung Cancer by Gao L, Liu B

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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

“…This research proposes an ensemble classification method leveraging machine learning (ML) to predict cardiac problems, providing physicians with actionable insights for personalized diagnoses and treatments. …”
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Novel Tubular Biomarkers Predict Renal Progression in Type 2 Diabetes Mellitus: A Prospective Cohort Study by Bancha Satirapoj, Kasemsan Aramsaowapak, Theerasak Tangwonglert, Ouppatham Supasyndh

“…Novel tubular biomarkers related to renal injury in diabetic nephropathy could improve risk stratification and prediction. Methods. A total of 303 type 2 diabetic patients were followed up. …”
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