Predicting the hospitalization burdens of patients with mental disease: a multiple model comparison by Lu Hou, Lu Hou, Jing Zhang, Jing Zhang, Li Li, Yelin Weng, Ziyu Yang, Zhiguo Liu

“…The data were then cleaned to remove missing values and outliers, and key features related to the HB were extracted. …”
Get full text

Quality and fertility status of soils in the groundnuts (Arachis hypogaea L.) production basin of Ngong, North Cameroon by Gabriel Ange Teguia Kamdem, Jacques Roberto Tueche, Robert Temdjim, Lawrence Tatanah Nanganoa, Simon Djakba Basga, Cedrick Nguemezi, Paul Tematio

“…Official figures showed gradual yield decrease over recent years, attributable to various factors, with poor soil conditions among the most acute. However, missing information on soil quality and fertility status in these areas is jeopardizing efforts of improving agricultural productivity. …”
Get full text

Evaluating dental health in patients with different severity of Parkinson’s disease: a cross-sectional study by Ziyu Ge, Jing Chen, Xinhui Chen, Rundong Zhang, Yanzhen Zhang, Wei Luo

“…The findings underscore the importance of integrating oral care into the overall management of PD. …”
Get full text

An improved performance model for artificial intelligence-based diabetes prediction by Ugwu Hillary Okwudili, Oparaku Ogbonna Ukachukwu, V. C. Chijindu, Michael Okechukwu Ezea, Buhari Ishaq

“…This improvement is particularly notable given the challenges posed by outliers and missing values in the dataset, which complicate diabetes prediction. …”
Get full text

Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data. by Ali Golestani, Nazila Rezaei, Mohammad-Reza Malekpour, Naser Ahmadi, Seyed Mohammad-Navid Ataei, Sepehr Khosravi, Ayyoob Jafari, Saeid Shahraz, Farshad Farzadfar

“…<h4>Conclusion</h4>By integrating spatiotemporal, behavioral, and weather-related variables, our study highlighted the dominance of spatial factors in predicting errors in accident hotspots. …”
Get full text

Library-based virtual match-between-runs quantification in GlyPep-Quant improves site-specific glycan identification by He Zhu, Zheng Fang, Lei Liu, Yan Wang, Hongqiang Qin, Yongzhan Nie, Mingming Dong, Mingliang Ye

Get full text

Transformer-Based Motion Predictor for Multi-Dancer Tracking in Non-Linear Movements of Dancesport Performance by Zhiling Wang

“…Unlike conventional tracking methods that integrate appearance features, MDSTT processes historical bounding box trajectories through a transformer encoder, capturing both long-range and short-term spatio-temporal dependencies while mitigating occlusion-induced identity switches. …”
Get full text

Machine learning enables legal risk assessment in internet healthcare using HIPAA data by Shixian Liu, Hailing Liu, Siyu Fan, Leming Song, Zeyu Wang

“…RF enhances classification performance by integrating multiple decision trees, while SVM achieves efficient classification by identifying the maximum margin hyperplane. …”
Get full text

A Novel Method for Inverting Deep-Sea Sound-Speed Profiles Based on Hybrid Data Fusion Combined with Surface Sound Speed by Qiang Yuan, Weiming Xu, Shaohua Jin, Xiaohan Yu, Xiaodong Ma, Tong Sun

“…To address the issue, we propose a joint inversion framework integrating World Ocean Atlas 2023 (WOA23) temperature–salinity model data, historical in situ SSPs, and surface sound speed measurements. …”
Get full text

Exploring the impact of glycemic variability on clinical outcomes in critically ill cerebral infarction patients by Hui Yang, Hongcai Wang, Yan Jiang

“…Predictive performance was assessed using AUC, NRI, and IDI, and multiple imputation methods addressed missing data. Results Higher GV was significantly linked to adverse outcomes. …”
Get full text

Effect of an emergency/planned cesarean section on the perinatal outcomes of pregnant women with placenta accreta spectrum and their neonates: a retrospective study cohort by Duan Duan, Sumei Wei, Dongmei Tang, Shimao Zhang, Jinzhu Fu, Linbo Cheng, Mi Su, Wenyi Lin, Wen Xiong

“…The selection of covariates for the regression analyses was carefully guided by previously reported influencing factors, as well as the significant differences highlighted in the univariate analysis. Missing data were addressed using multiple imputation based on chained equations to reduce potential bias and preserve analytical integrity. …”
Get full text

Analysis Method of Real-World Digital Biomarkers for Clinical Impact in Cancer Patients by Ingrid Oakley-Girvan, Yaya Zhai, Reem Yunis, Raymond Liu, Sharon W. Davis, Ai Kubo, Sara Aghaee, Jennifer M. Blankenship, Kate Lyden, Elad Neeman

“…Methods: A cohort of 50 cancer patients used the DigiBioMarC app integrated with an Apple Watch for 28 days. We identified different gap types in watch data based on their length and context to estimate daily steps. …”
Get full text

Semantic-Driven Approach for Validation of IoT Streaming Data in Trustable Smart City Decision-Making and Monitoring Systems by Oluwaseun Bamgboye, Xiaodong Liu, Peter Cruickshank, Qi Liu

“…The architecture, built on a robust semantic-based system, incorporates a reasoning technique based on forward rules, which is integrated within the semantic stream query processing system. …”
Get full text

Exploring machine learning algorithms to predict short birth intervals and identify its determinants among reproductive-age women in East Africa by Tirualem Zeleke Yehuala, Bezawit Melak Fente, Sisay Maru Wubante

“…The dataset undergoes preprocessing steps to handle missing values, encode categorical variables, perform feature selection, and integrate data and normalize numerical features. …”
Get full text

The genetic consequences of successful reintroduction of wild turkey (Meleagris gallopavo) in Nebraska by Brittaney L. Buchanan, Magdalena J. Olson, Robert M. Zink, Hernán Vázquez‐Miranda

“…Whether introduced birds mated assortatively by plumage traits is unknown, and the effects of restoration efforts on the genetic integrity of the introduced birds are unclear. We analyzed variation in the mitogenome and nuclear genome of 16 turkeys selected to represent each subspecies. …”
Get full text

Tropical cyclone track prediction harnessing deep learning algorithms: A comparative study on the Northern Indian Ocean by Sabbir Rahman, M. Fahim Faisal, Prianka Mondal, Md. Mahfuzur Rahman

“…LSTM's ability to adapt to temporal variations and handle missing or noisy data makes it particularly well-suited for operational forecasting. …”
Get full text

Neutrophil percentage-to-albumin ratio (NPAR) as a biomarker for asthma: a cross-sectional analysis of NHANES data by Lingge Bi, Jinguang Liang, Kai Hu

“…Future research should integrate serial NPAR measurements and multi-omics profiling to validate its role in asthma management.…”
Get full text

Wheat Cultivation Suitability Evaluation with Stripe Rust Disease: An Agricultural Group Consensus Framework Based on Artificial-Intelligence-Generated Content and Optimization-Dri... by Tingyu Xu, Haowei Cui, Yunsheng Song, Chao Zhang, Turki Alghamdi, Majed Aborokbah

“…First, a graph neural network (GNN) models trust propagation within wheat pathologists’ social networks, completing missing trust links and providing a solid foundation for weighting and clustering. …”
Get full text

Novel homozygous SPAG17 variants cause human male infertility through multiple morphological abnormalities of spermatozoal flagella related to axonemal microtubule doublets by Tao Liu, Fazal Rahim, Meng-Lei Yang, Meftah Uddin, Jing-Wei Ye, Imtiaz Ali, Yousaf Raza, Abu Mansoor, Muhammad Shoaib, Mujahid Hussain, Ihsan Khan, Basit Shah, Asad Khan, Ahmad Nisar, Hui Ma, Bo Xu, Wasim Shah, Qing-Hua Shi

“…Altogether, these findings demonstrated that SPAG17 maintains the integrity of spermatozoal flagellar axoneme, expanding the phenotypic spectrum of SPAG17 mutations in humans.…”
Get full text

Machine Learning-Augmented Triage for Sepsis: Real-Time ICU Mortality Prediction Using SHAP-Explained Meta-Ensemble Models by Hülya Yilmaz Başer, Turan Evran, Mehmet Akif Cifci

“…To address class imbalance and missing data, we employed the Synthetic Minority Oversampling Technique and systematic imputation methods, respectively. …”
Get full text