Showing 1 - 20 results of 447 for search 'T35 (classification)', query time: 0.07s Refine Results
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    Performance of classification criteria for Behcet's disease in an Egyptian cohort by Mohamed Ahmed Hussein, Mona I Ellawindi, Gaafar Ragab

    Published 2017-01-01
    “…On the other hand, ICBD 2006 and ISG were very specific (99.51%, 99.41%, respectively) with PPV (99.49%, 99.40%) and PLR (155.35, 126.33), respectively. Conclusions: ICBD 2010 is a very good criteria set to be used in Egyptian BD patients based on its very high sensitivity, accepted specificity, and power of discrimination that enables early patients classification, management, and prognosis.…”
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    Knee phenotypes distribution according to CPAK classification in Turkish population by Vahit Emre Özden, Göksel Dikmen, Kayahan Karaytuğ, Arda Mavi, Yılmaz Onat Köylüoğlu, İsmail Remzi Tözün

    Published 2024-11-01
    “…Objective: This study aimed to investigate the distribution of knee phenotypes based on the CPAK classification in healthy nonarthritic subjects and osteoarthritic patients in Türkiye. …”
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    Comparative Study for Classification Algorithms Performance in Crop Yields Prediction Systems by Halbast Rashid Ismael, Adnan Mohsin Abdulazeez, Dathar A. Hasan

    Published 2021-05-01
    “…The SVM algorithm achieved the highest accuracy value with 76.82%. while the lowest is achieved by the KNN algorithm with 35.76%. The highest error value was 111.8855 for KNN. …”
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