Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms by Shahnam Sedigh Maroufi, Maryam Soleimani Movahed, Azar Ejmalian, Maryam Sarkhosh, Ali Behmanesh

“…Unlike prior studies relying on statistical models or single-algorithm methods, this research assesses multiple ML models to predict discharge readiness, comparing them against staff evaluations and the Aldrete checklist. …”
Get full text

EVALUATION OF ELECTROMYOGRAPHIC NOISE STATISTICAL CHARACTERISTICS IN MULTICHANNEL ECG RECORDINGS by Evgene B. Grigoriev, Alexander S. Krasichkov, Evgeny M. Nifontov

Get full text

Protocol for detecting neuronal subnetworks from in vivo calcium imaging data using multiple clustering algorithms in MATLAB by Jui-Yen Huang, Gautam Chauhan, Pei-Ying Chen, Esen Tuna, Hui-Chen Lu

“…We provide a step-by-step workflow to detect subnetworks from in vivo calcium imaging data using multiple clustering algorithms in MATLAB. We apply statistical modeling in R to evaluate group-level differences, followed by model selection and bootstrapping for robust estimation. …”
Get full text

Evaluation of functional disorders in tuberculosis patients with the severe course of the disease by T. V. Pyanzova, I. A. Vasilyeva, Yu. T. Dzhangildin

Get full text

COMPARATIVE EVALUATION OF INDICATORS OF STRUCTURAL AND MECHANICAL PROPERTIES OF WHEAT GRAIN by P. V. Medvedev, V. A. Fedotov, E. S. Lukyanova

Get full text

Inside the Black Box: Detecting and Mitigating Algorithmic Bias Across Racialized Groups in College Student-Success Prediction by Denisa Gándara, Hadis Anahideh, Matthew P. Ison, Lorenzo Picchiarini

“…In this study, we examine how the accuracy of college student success predictions differs between racialized groups, signaling algorithmic bias. …”
Get full text

A weighted pattern matching approach for classification of imbalanced data with a fireworks-based algorithm for feature selection by N. K. Sreeja

“…PMC+ is evaluated on 44 binary imbalanced datasets and 15 multiclass imbalanced datasets. …”
Get full text

Comparative performance of PROMIS Sleep Disturbance computerized adaptive testing algorithms and static short form in postmenopausal women by Andrew Trigg, Claudia Haberland, Huda Shalhoub, Christoph Gerlinger, Christian Seitz

“…A graded response model (GRM) was fitted for the item bank, then simulations evaluated the performance of CAT algorithms and the short form, in terms of root mean square error (RMSE) versus the latent trait estimate derived from the full bank. …”
Get full text

Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations by Yong Li, Xin Sun, Yongtao Qu, Shuling Yang, Yueyi Zhai, Yan Qu

“…Chi-square and Mann-Whitney U tests examined variables, and multivariate logistic regression determined ONIHL risk factors. Machine learning algorithms like Logistic Regression and Random Forest were developed, optimized, and evaluated. …”
Get full text

Analysis of Smart Grid Optimal Scheduling considering the Demand Response of Different EV Owners by Xiaohua Zhang, Chongyang Liao, Xingrui Chen, Kuiheng Deng, Bolin Chen, Yibo Gong

“…This paper proposes a classified scheduling method for different types of EV owners. According to charging and vehicle-to-grid (V2G) data of EV owners, the K-means clustering algorithm (K-means) is used to classify EV owners, and the demand response (DR) model is established based on the classification results. …”
Get full text

Differences in drug resistance of HIV-1 genotypes in CSF and plasma and analysis of related factors by Jie Wang, Mei Li, Jungang Li, Renni Deng

Get full text

Artificial Bee Colony Algorithm Based on the Division Between Exploration and Exploitation and Its Application in Esophageal Cancer Prediction by WANG Yingcong, YAN Jun, SUN Junwei, WANG Yanfeng

“…The Wilcoxon test results indicated that there was no significant difference between ABC_DEE and GABC, but ABC_DEE significantly outperformed the other algorithms. …”
Get full text

Quantitative evaluation and obstacle factor diagnosis of drug regulatory capacity in China. by Mingming Zhai, Liwen Huang, Shijie Sun, Liying Cao, Xueqiong Yue, Yuanxia Hu

“…<h4>Methods</h4>Using the methods of literature research, expert interviews, investigation and analysis, the quantitative evaluation indicator system of supervision ability was established in all directions; the indicator data were collected and quantified; the indicator weight setting algorithm of the evaluation system was improved and the indicator weight was set by combining AHP and entropy method; the differences among eastern, central, and western provincial-level regions were analyzed by variance analysis; panel data were constructed for spatio-temporal evolution analysis; obstacle factor diagnosis model was used to analyze the obstacle factors.…”
Get full text

Power Metal Corrosion Evaluation Method Based on Image Feature Analysis by ZHONG Yao, ＲEN Xiao, WU Gao-lin, WANG Qian, WANG Xu-peng, HAO Jian

“…The evaluation results of the corrosion status of different corrosion samples on site are consistent with their actual corrosion degree.…”
Get full text

PROGNOSTIC VALUE OF DIFFERENT OBESITY MARKERS FOR CARDIOVASCULAR RISK ASSESSMENT IN URBAN EMPLOYED MONGOLIANS by K. V. Protasov, T. Myagmarsuren

Get full text

A novel anthropometric method to accurately evaluate tissue deformation by Chongyang Ye, Xiaolu Li, Haiyan Song, Yu Shi, Ruixin Liang, Jun Zhang, Ka Po Lee, Zhaolong Chen, Beibei Zhou, Raymond Kai-Yu Tong, Kit-Lun Yick, Sun-Pui Ng, Joanne Yip

“…Moreover, a novel anthropometric method based on image recognition algorithms that systematically measures and evaluates tissue deformation while minimizing the impact of the effects of motion is proposed. …”
Get full text

Identification for internal reference genes in different periods of granulosa cells of Tianfu meat geese by MO Yuanliang, WANG Yushi, WANG Jiwen

“…By constructing a standard curve, between C_q value and the logarithm of relative copy number exhibited a good linear relationship in the serial dilution concentration gradient. Based on the evaluation results of four different algorithms, SDH, HMBS and 18S were found to be three of the most stable reference genes, but UBC, GAPDH and TUB were three of the least stable reference genes in the different periods of granulosa cells. …”
Get full text

Fuzzy LQR-based control to ensure comfort in HVAC system with two different zones by Elif Çinar, Tayfun Abut

“…Comfort conditions were achieved by cooling the temperatures of two different regions from the ambient temperature to approximately 7 °C. …”
Get full text

EEG Microstate Dynamics during Different Physiological Developmental Stages and the Effects of Medication in Schizophrenia by Shihai Ling, Lingyan Du, Xi Tan, Guozhi Tang, Yue Che, Shirui Song

“…After pre-processing, EEG data from different groups were subjected to microstate analysis, and the K-Means clustering algorithm was applied to classify the data into 4 microstates. …”
Get full text

Examination and Tracing of Stable Isotopes of Carbon and Hydrogen in Diesel Oil from Different Regions by Han-yu ZHANG, Zhao-wei JIE, Han-yang ZHENG, Xiao-han ZHU, Wei-ya XIE, Can HU, Zhan-fang LIU, Hong-ling GUO, Jun ZHU, Hong-cheng MEI

“…The results showed significant regional differences are in the carbon and hydrogen isotope ratios of diesel n-alkanes. …”
Get full text