Showing 261 - 280 results of 862 for search 'S14 (classification)', query time: 0.05s Refine Results
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    Hip and Groin Problems in Female Team-Sport Athletes: A Cross-Sectional Study by Juan Diego Stadelmann, Freddy Reichmann, Romana Franceschini-Brunner, Andrea Mosler, Nicola A. Maffiuletti, Mario Bizzini

    Published 2024-11-01
    “…Secondary aims were to categorize the groin problems according to the Doha Agreement classification system and to explore the association between hip muscle strength and self-reported hip and groin function…”
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    Article
  5. 265

    The Prevalence of Occult Celiac Disease among Patients with Functional Dyspepsia: A Study from the Western Region of Iran by Ali Asghar Keshavarz, Homayoon Bashiri, Alireza Ahmadi, Shahrzad Bazargan-Hejazi

    Published 2010-01-01
    “…According to Rome II criteria, all twelve patients with positive tests had “dysmotility type dyspepsia.” Based on Marsh classification, six patients were consistent with “Marsh I,” four with “Marsh II,” and two with the “Marsh III” classification. …”
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    ANALYSIS OF STABILITY OF THE CLASSIFYING RULES PROCESSINGS OF TEXT INFORMATION by M. A. Silbergleit, A. S. Ryzhankova

    Published 2015-08-01
    “…In article is described the analysis of stability of classification functions when processing text information on the basis of application of various methods of transformation of data. …”
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  11. 271

    Autism spectrum disorder diagnosis with neural networks by Asude Demir, Seher Arslankaya

    Published 2024-12-01
    “…In this study, single layer perceptron neural networks were designed for the diagnosis of ASD. Data of 14 different parameters taken from children between 12-36 months of age were used, and as a result of the classification, the accuracy value of the neural network was 99.18%, the sensitivity value was 98.91%, the sensitivity value was 1 and the f1 score value was 99.45%. …”
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  12. 272

    Pulmonary Sarcomatoid Carcinoma Associated with Arterial Thromboembolism in a Cat by Aria L. Guarino, Albert B. Jeon, Jeffrey R. Abbott, Richard C. Hill

    Published 2021-01-01
    “…A 14-year-old, neutered male domestic shorthair cat presented for acute monoparesis with physical exam findings and biochemical data supportive of a distal arterial thromboembolism. …”
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    Evaluation of the Blend in Bagasse Ash-Quarry Dust Stabilization of Expansive Soils for Road Pavement. by Tumwesigire, Osbert

    Published 2023
    “…The preliminary investigation shows that the soil belongs to A-7-5 class of soil in the AASHTO Soil classification system and unified soil classification system. …”
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    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 feature index method is limited in that the determination of the classification threshold is an obstacle to realizing automatic classification. …”
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    Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’ by Fuyang Li, Peixin Yang, Jacky Wai Keung, Wenhua Hu, Haoyu Luo, Xiao Yu

    Published 2023-08-01
    “…The results show that (1) The classification before sorting (CBS+) defect density calculation strategy achieves the best overall performance. (2) Using balanced distribution adaption (BDA) and joint distribution adaptation (JDA) with the K‐nearest neighbour classifier to build the EACPDP model can find 15% and 14.3% more defective modules and 11.6% and 8.9% more defects while achieving the acceptable initial false alarms (IFA). (3) Better comprehensive classification performance of the methods can bring better EACPDP performance to some extent. (4) A flexible adjustment of the defect threshold λ of the CBS+ strategy contribute to different goals. …”
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    Knowledge and Lifestyle-Associated Prevalence of Obesity among Newly Diagnosed Type II Diabetes Mellitus Patients Attending Diabetic Clinic at Komfo Anokye Teaching Hospital, Kumas... by Yaa Obirikorang, Christian Obirikorang, Enoch Odame Anto, Emmanuel Acheampong, Nyalako Dzah, Caroline Nkrumah Akosah, Emmanuella Batu Nsenbah

    Published 2016-01-01
    “…Prevalence of obesity was 61.3% according to WHR classification, 40.8% according to WHtR classification, 26.1% according to WC, and 14.8% according to BMI classification. …”
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