Showing 101 - 120 results of 292 for search 'T62 (classification)', query time: 0.05s Refine Results
  1. 101

    CBCT analysis of the incidence of maxillary lateral incisor dens invaginatus and its impact on periodontal supporting tissues by Yanhua Wang, Sha Su, Xing Chen, Xueting Jia

    Published 2024-12-01
    “…The complexity of radicular groove was determined by Gu’s classification standard. Both of coronal invaginatus and radicular dens invaginatus were recorded as dens invaginatus. …”
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    Evaluation of angular and positional changes of maxillary third molars following premolar extraction, molar distalization, and non-extraction treatments by Zeynep Çoban Büyükbayraktar, Hasan Camcı, Sultan İçmen, Artun Yangın

    Published 2025-01-01
    “…Methods Initial (T0) and final (T1) panoramic radiographs of three different patient groups were analyzed: first premolar extraction group (n = 26 patients, 52 MxM2, 52 MxM3), molar distalization group (n = 20 patients, 40 MxM2, 40 MxM3), and non-extraction group (n = 31 patients, 62 MxM2, 62 MxM3). Descriptive data, including growth pattern, crowding, overjet, overbite, and maxillary incisor inclination, were recorded. …”
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  8. 108

    Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

    Published 2020-05-01
    “…Based on the results obtained to improve the results, the k-means process data were reprocessed with linguists, the results obtained were 139 positive SARA tweets and 62 SARA negative tweets, the results of which increased to 70.15% and 71.14%. …”
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  9. 109

    Coronary Heart Disease Risk Prediction Model Based on Machine Learning by YUE Haitao, HE Chanchan, CHENG Yuyou, ZHANG Sencheng, WU You, MA Jing

    Published 2025-02-01
    “…Using random oversampling, the models achieved classification accuracies of 62.5%, 68.5%, 69.0%, 60.2%, and 70.1%; recall rates of 70.0%, 69.5%, 71.9%, 69.0%, and 67.6%; precision of 15.8%, 18.4%, 19.1%, 14.8%, and 19.0%; F-values of 0.258, 0.291, 0.302, 0.244, and 0.297; and AUC values of 0.80, 0.77, 0.72, 0.72, and 0.83, respectively. …”
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  10. 110

    In-Season Automated Mapping of Xinjiang Cotton Based on Cumulative Spectral and Phenological Characteristics by Yongsheng Huang, Yaozhong Pan, Yu Zhu, Xiufang Zhu, Xingsheng Xia, Qiong Chen, Jufang Hu, Hongyan Che, Xuechang Zheng, Lingang Wang

    Published 2025-01-01
    “…The overall accuracies of cotton classification at the four sites were 91.20%, 90.45%, 93.00%, and 91.80%, and the F1-scores were 90.85%, 90.33%, 92.62%, and 92.26%, respectively. …”
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    Clinical severity grading of NF2-related schwannomatosis by Anna C. Lawson McLean, Denise Löschner, Said Farschtschi, Nora F. Dengler, Steffen K. Rosahl

    Published 2025-01-01
    “…There is a wide range of disabilities these patients may suffer from and there is no validated clinical classification for disease severity. We propose a clinical classification consisting of three severity grades to assist in patient management. …”
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    Incidence of syphilis in the Cienfuegos province. 2013-2017 by Yoelvis Castro Bruzón, José Andrés Fuentes Soto, Yaneisy Rodríguez Cabrera, Sahily de la Caridad Ortega Medina

    Published 2019-08-01
    “…The variables used were: age group, sex, behavior sexual, diagnostic classification by type of syphilis, risk factors and sexual orientation. …”
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    Initial Treatment of Meningocele and Myelomeningocele Lesion in Children by Ammar Anwer, Naveed Ahmad Khan, Obaid Ur Rehman, Javaria Siddiq, Abrar Ullah Khan

    Published 2025-01-01
    “…The KA Bennett classification system was used for functional outcomes grading. …”
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