Showing 261 - 280 results of 447 for search 'T35 (classification)', query time: 0.08s Refine Results
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    Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

    Published 2024-09-01
    “…In addition to the baseline model, a gradient-boosted classification tree, naïve Bayes, and random forest model were created and compared using receiver operator characteristics, area under the curve, and accuracy. …”
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  3. 263

    Most prevalent jobs of young master’s degree graduates by detailed field of study by Marc Frenette, Tomasz Handler

    Published 2024-08-01
    “…Note that the intention is to show the five most prevalent jobs based on the five-digit 2021 National Occupational Classification (NOC 2021) code for each six-digit 2021 Classification of Instructional Programs (CIP 2021) code, but some results had to be suppressed. …”
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    Explore the factors related to the death of offspring under age five and appraise the hazard of child mortality using machine learning techniques in Bangladesh by Ashikur Rahman, Md. Habibur Rahman

    Published 2025-01-01
    “…Six ML-based algorithms were implemented for predicting child mortality, such as Naïve Bayes, Classification and Regression Trees, Random Forest, C5.0 Classification, Gradient Boosting Machine, and Logistic Regression. …”
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  6. 266

    Diagnosis of Columnar Metaplasia of the Esophageal Mucosa in Patients with Complicated Gastroesophageal Reflux Disease by E. D. Fedorov, A. V. Shidii-Zakrua, L. M. Mikhaleva, K. S. Maslenkina, A. A. Lindenberg, D. E. Seleznev, V. O. Kaybysheva, T. A. Partenadze

    Published 2024-03-01
    “…The use of BING and PREDICT classifications provided marking of compromised zones, allowing targeted histological sampling.Conclusions. …”
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  7. 267

    Intra-Articular Application of Sluijter-Teixera Poisson Pulsed Radiofrequency in Symptomatic Patients with Knee Osteoarthritis: Focus upon Clinical Efficacy and Safety by D. Filippiadis, A. Tsochatzis, E. Petsatodis, S. Galanis, G. Velonakis, C. Giankoulof, A. Kelekis

    Published 2021-01-01
    “…Pain decrease of more than 4 NVS units was noticed in 35/39 knees (89.7%) at first week, 36/39 knees (92.3%) at first month, 35/39 knees (89.7%) at three months, 32/39 knees (82.1%) at six months, and 25/39 knees (64.1%) at one year. …”
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    Biochemical Characterization of Seed Oil of Tunisian Sunflower (Helianthus annuus L.) Accessions with Special Reference to Its Fatty Acid Composition and Oil Content by Taoufik Hosni, Zouhaier Abbes, Leila Abaza, Sana Medimagh, Hamadi Ben Salah, Mohamed Kharrat

    Published 2022-01-01
    “…The average oil content of the H. annuus accessions was 53.2%, ranging from 35.33% to 59.67%. The results of this study also indicated that unsaturated acids, particularly oleic acid and linoleic acid, were the most abundant fatty acids in oils. …”
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    Effect of Metadoxine on Chronic Primary Hepatopathies in Canines:  Number of Cases by Paula María Bermúdez-Duarte, José Alfredo Rivera-Rojas

    Published 2023-09-01
    “…Once the histological diagnosis was confirmed, they received metadoxine at 17±11.35 mg/kg every 12 hours for 4 weeks. Clinical, paraclinical, ultrasound, and histopathological follow-up was conducted at the end of this period. …”
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    Cardiovascular Endurance, Body Mass Index, Physical Activity, Screen Time, and Carotenoid Intake of Children: NHANES National Youth Fitness Survey by Joan A. Vaccaro, Fatma G. Huffman

    Published 2016-01-01
    “…Considering the highest percentile, boys had a heart rate reserve of 35%, whereas girls had a heart rate reserve of 13% (less than half that of boys). …”
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    Use of data mining algorithms in prediction of eggshell thickness from egg quality traits of Potchefstroom Koekoek layers by Kagisho Madikadike Molabe, Thobela Louis Tyasi, Vusi Gordon Mbazima

    Published 2025-01-01
    “…CHAID and Ex-CHAID (R2= 0.35) discovered egg weight as the best predictor of eggshell thickness. …”
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  20. 280

    Performance Enhancement of an SSVEP-Based Brain–Computer Interface in Augmented Reality Through Adaptive Color Adjustment of Visual Stimuli for Optimal Background Contrast by Cheong-Un Kim, Seonghun Park, Chang-Hwan Im

    Published 2025-01-01
    “…We then evaluated the feasibility of the proposed strategy through online experiments conducted in both indoor and outdoor conditions. The classification performance of the SSVEP-BCI system in an AR environment based on our proposed stimulus presentation strategy was 95.0% for a window size of 3.5 s in offline experiments performed with 17 participants. …”
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