Serum Glycated Albumin Levels Are Affected by Alcohol in Men of the Jinuo Ethnic Group in China by Chaoyu Zhu, Xuhong Hou, Ming Li, Qingyi Sun, Huijuan Lu, Yuqian Bao, Li Wei, Weiping Jia, Fusong Jiang

“…Analysis of variance (ANOVA), correlation analysis, and linear regression were used to evaluate the effects of drinking on serum GA levels. Decision tree regression (DTR) algorithm was used to evaluate the effect of features (variables) on GA levels. …”
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Predicting the risk of postoperative gastrointestinal bleeding in patients with Type A aortic dissection based on an interpretable machine learning model by Lin Li, Xing Yang, Wei Guo, Wenxian Wu, Meixia Guo, Huanhuan Li, Xueyan Wang, Siyu Che

“…Predictors were screened using LASSO regression, and four ML algorithms—Random Forest (RF), K-nearest neighbor (KNN), Support Vector Machines (SVM), and Decision Tree (DT)—were employed to construct models for predicting postoperative GIB risk. …”
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Application of satellite images and object-oriented processing in land use/land cover map extraction to model ecosystem services (case study: Lorestan province) by Zahra Asadolahi, Mostafa Keshtkar, Zia Badehian

“…Introduction: Due to the importance of ecosystem services mapping in decision making, different approaches have been developed for mapping ecosystem services. …”
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Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions by Liang zhu, Jiamin Li, Xuefeng Wang, Yan He, Siyuan Li, Shuyan He, Biao Deng

“…Initially, the tumor’s region of interest (ROI) was manually delineated using ITK-SNAP software. A custom Python algorithm was then used to automatically expand the peri-tumoral area, extracting features within 1 mm, 2 mm, and 3 mm zones surrounding the tumor. …”
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A Review of Data Fusion Techniques by Federico Castanedo

“…Then, the most common algorithms are reviewed. These methods and algorithms are presented using three different categories: (i) data association, (ii) state estimation, and (iii) decision fusion.…”
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PROFESSOR VLADIMIR MIKHAILOVICH TAVROVSKY IS A DOCTOR AND SCIENTIST WHO WAS AHEAD OF TIME BY HALF A CENTURY by Аркадий Лейбович Ханин

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Relationship between intra-bladder pressure and acute kidney injury in patients with acute pancreatitis: interpretable machine learning approach by Gang Liao, Baning Ye, Jianquan Li, Mingxiang Wen

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Maternal factors associated with early-onset neonatal sepsis among caesarean-delivered babies at Mbarara Regional Referral Hospital, Uganda: a case-control study by James M. Maisaba, Richard Migisha, Asiphas Owaraganise, Leevan Tibaijuka, David Collins Agaba, Joy Muhumuza, Joseph Ngonzi, Stella Kyoyagala, Musa Kayondo

“…Neonates born to referred mothers had higher odds of EONS than those born to non-referred mothers (AOR = 6.2, 95% CI: 1.8–21). Additionally, decision-to-delivery time > 1 h for emergency caesarean section (AOR = 16, 95% CI: 4.2–65), antepartum hemorrhage (AOR = 8.0, 95% CI: 1.6–40), primiparity (AOR = 4.8, 95% CI: 1.1–21), and > 3 vaginal examinations after membrane rupture (AOR = 4.3, 95% CI: 1.5–12) were associated with EONS. …”
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Support Vector Machine and Granular Computing Based Time Series Volatility Prediction by Yuan Yang, Xu Ma

“…With the development of information technology, a large amount of time-series data is generated and stored in the field of economic management, and the potential and valuable knowledge and information in the data can be mined to support management and decision-making activities by using data mining algorithms. …”
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Ensemble inference of unobserved infections in networks using partial observations. by Renquan Zhang, Jilei Tai, Sen Pei

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Beamforming and resource optimization in UAV integrated sensing and communication network with edge computing by Bin LI, Sicong PENG, Zesong FEI

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Face Spoofing Detection with Stacking Ensembles in Work Time Registration System by Rafał Klinowski, Mirosław Kordos

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Design of Vehicle Unmanned Driving Navigation System by Zhang Yuanfu

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Dynamic Camera Planning for Robot-Integrated Manufacturing Processes Using a UAV by Marius Boshoff, Bernd Kuhlenkötter, Paul Koslowski

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Advancements in machine learning for estimating parameters of wastewater treatment plants by Kolyeva Natalya, Rastyagaev Alexander, Kortenko Lyudmila, Rozhkov Sergey, Sbitneva Mariia, Kuznetsov Aleksandr

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A New Distributed Type-2 Fuzzy Logic Method for Efficient Data Science Models of Medical Informatics by Fatéma Zahra Benchara, Mohamed Youssfi

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An Enhanced Fermatean Fuzzy Composition Relation Based on a Maximum-Average Approach and Its Application in Diagnostic Analysis by P. A. Ejegwa, G. Muhiuddin, E. A. Algehyne, J. M. Agbetayo, D. Al-Kadi

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Inferring the heterogeneous effect of urban land use on building height with causal machine learning by Yimin Chen, Jing Chen, Shuai Zhao, Xiaocong Xu, Xiaoping Liu, Xinchang Zhang, Honghui Zhang

“…However, conventional machine learning algorithms are limited in their ability to capture causal relationships in land use change, which are important knowledge for planners and decision makers. …”
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Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study by Yanqi Kou, Shicai Ye, Yuan Tian, Ke Yang, Ling Qin, Zhe Huang, Botao Luo, Yanping Ha, Liping Zhan, Ruyin Ye, Yujie Huang, Qing Zhang, Kun He, Mouji Liang, Jieming Zheng, Haoyuan Huang, Chunyi Wu, Lei Ge, Yuping Yang

“…Propensity score matching was adjusted for demographics, and the Boruta algorithm identified key predictors. A total of 7 ML algorithms—logistic regression, k-nearest neighbors, support vector machine, decision tree, random forest (RF), extreme gradient boosting, and neural networks—were trained using 10-fold cross-validation. …”
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The digital geographies of tact by Mike Duggan

“…The work makes a contribution to the discipline's long standing interests in spatial tactics and socio-spatial behaviour, in touch and sensory geographies, and more recently to algorithmic decision making.…”
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