Exploring the Translation Lookaside Buffer (TLB) for Low-Level Task Differentiation and Classification by Cristian Agredo, Daniel F. Koranek, Christine M. Schubert Kabban, Jose A. Gutierrez Del Arroyo, Tor J. Langehaug, Scott R. Graham

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Bridging the Gap: Missing Data Imputation Methods and Their Effect on Dementia Classification Performance by Federica Aracri, Maria Giovanna Bianco, Andrea Quattrone, Alessia Sarica

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Causal Discovery for Patient Classification Using Health-Related Quality of Life Questionnaires by Maria Ganopoulou, Konstantinos Fokianos, Christos Bakirtzis, Lefteris Angelis, Theodoros Moysiadis

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Coal wall bending calculation and spalling risk classification using Chebyshev polynomials by Zhining Zhao, Weidong Pan, Baiyu Hu, Guocheng Zhang, Cang Deng, Xiyuan Qin, Yupei Deng

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Assessing etiological classification systems and their relationship with neurological deterioration in patients with intracerebral hemorrhage by Daniel Vázquez-Justes, Gerard Mauri-Capdevila, Yhovany Gallego, Miriam Paul-Arias, Raquel Mitjana, Francisco Purroy

“…The hypertensive subtype was the most frequent etiology with both classifications systems. In 149 (49.5%) more than one possible etiology for ICH was identified, with the most common combination being hypertension and either probable or possible amyloid angiopathy, in 64 patients (21.3%). …”
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A risk prediction model for gastric cancer based on endoscopic atrophy classification by Yadi Lan, Weijia Sun, Shen Zhong, Qianqian Xu, Yining Xue, Zhaoyu Liu, Lei Shi, Bing Han, Tianyu Zhai, Mingyue Liu, Yujing Sun, Hongwei Xu

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Two-stage DRG grouping of cerebral infarction based on comorbidity and complications classification by Siyu Zeng, Lele Li, Lele Li, Jialing Li, Xiaozhou He

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MATHEMATICAL MODELING IN THE CONTENT OF STUDENTS-ECOLOGISTS’ TRAINING OF MATHEMATICS by S. I. Toropova

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Enumeration, classification and clinical application of circulating tumor cells in advanced gallbladder adenocarcinoma by Chun Liu, Cheng Yan, Weichang Zhang, Yuxin Sun, Youjun Lin, Wenwu Cai

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Exploring machine learning classification for community based health insurance enrollment in Ethiopia by Seyifemickael Amare Yilema, Seyifemickael Amare Yilema, Yegnanew A. Shiferaw, Yikeber Abebaw Moyehodie, Setegn Muche Fenta, Denekew Bitew Belay, Denekew Bitew Belay, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Teshager Zerihun Nigussie, Ding-Geng Chen, Ding-Geng Chen

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Sex-Specific Ensemble Models for Type 2 Diabetes Classification in the Mexican Population by Mendoza-Mendoza MM, Acosta-Jiménez S, Galván-Tejada CE, Maeda-Gutiérrez V, Celaya-Padilla JM, Galván-Tejada JI, Cruz M

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Scalable AI-driven air quality forecasting and classification for public health applications by Mohammad Wasil Jalali, Bahir Saidi, Habibullah Farahmand, Mohammad Aref Rezvan Panah, Eda Nur Saruhan

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Stacked Ensemble Learning for Classification of Parkinson’s Disease Using Telemonitoring Vocal Features by Bolaji A. Omodunbi, David B. Olawade, Omosigho F. Awe, Afeez A. Soladoye, Nicholas Aderinto, Saak V. Ovsepian, Stergios Boussios

“…The developed system combined support vector machine (SVM), random forest (RF), K-nearest neighbor (KNN), and decision tree (DT) as base classifiers, with logistic regression (LR) as the meta-classifier in a stacked ensemble learning framework. …”
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Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning by Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

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Groundwater sustainability assessment and desertification susceptibility mapping in semi arid Bangladesh using integrated remote sensing and logistic regression modeling by Ragib Mahmood Shuvo, Radwan Rahman Chowdhury, Sanchoy Chakroborty, Anutosh Das, Abdulla Al Kafy, Hamad Ahmed Altuwaijri, Tekalign Ketema Bahiru

“…The regression model boasts an ROC value of 96.22% and R2 of 0.3893, indicating good classification performance with acceptable class variance. …”
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Unlocking Retail Insights: Predictive Modeling and Customer Segmentation Through Data Analytics by Juan Tang

“…This research aims at examining the progress of retail demand forecasting and customer classification via regression models and RFM analysis in the retail chain industry. …”
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Comparative Analysis of Random Forest and Logistic Regression Methods in Predicting Leukemia Blood Cancer Using Microscopic Blood Cell Images by Jepri Banjarnahor, Galuh Wira Relungwangi

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The association between glycated hemoglobin, physical activity and infertility: a multiple logistic regression and mediation analysis based on the NHANES database by Panpan Chen, Panpan Chen, Leilei Zhu, Yanli Mou, Shuyun Zhao, Guanyou Huang

“…We conducted data analysis via both multiple logistic regression analysis and mediation analysis.SettingNational Health and Nutrition Examination Survey (NHANES, 2013–2018).ParticipantsWomen aged 18–49 years (n, 3,948).ResultsThere was no statistically significant link demonstrated between infertility and work-related PA patterns. …”
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The effect of a post-bronchodilator FEV1/FVC < 0.7 on COPD diagnosis and treatment: a regression discontinuity design by Alexander T. Moffett, Scott D. Halpern, Gary E. Weissman

“…Objective To estimate the effect of a documented post-bronchodilator FEV1/FVC < 0.7 on the diagnosis and treatment of COPD. Design We used a regression discontinuity design to measure the effect of a post-bronchodilator FEV1/FVC < 0.7 on COPD diagnosis and treatment. …”
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ANALISIS DISKRIMINAN, REGRESI LOGISTIK, NEURAL NETWORK DAN MARS PADA PENGKLASIFIKASIAN DATA by Thomas Pentury

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