Yazar "Yildirim, Savas" seçeneğine göre listele

Listeleniyor 1 - 3 / 3
  • Küçük Resim Yok
    Öğe
    Evaluation of the factors affecting survival and local recurrence in thigh soft tissue sarcomas
    (Turkish Joint Diseases Foundation, 2024) Yildirim, Savas; Ciftdemir, Mert; Ustabasioglu, Fethi Emre; Ustun, Funda; Usta, Ufuk
    Objectives: The aim of this study was to evaluate the factors affecting local recurrence and survival in patients with soft-tissue sarcomas located in the thigh.Patients and methods: This retrospective cross-sectional study evaluated 41 soft tissue sarcoma patients (21 males, 20 females; mean age: 57.9 +/- 13.7 years; range, 18 to 90 years) with thigh involvement between January 2010 and December 2020. All surgical intervention was performed by one surgeon with an experience of 15 years in orthopedic oncologic surgery. Epidemiological, radiological, histopathological, and metabolic features, as well as surgical and oncological treatments and prognoses, were assessed. The data was statistically analyzed to determine factors affecting local recurrence and survival in these cases, staged using Enneking and the American Joint Committee on Cancer classifications.Results: Liposarcomas were the most common type of tumor (39%), followed by undifferentiated pleomorphic sarcomas (32%). Tumors >10 cm were associated with decreased survival rates. High-grade tumors, tumor necrosis, Ki-67 index >20%, and positive surgical margins were also associated with lower survival rates. Metastatic patients had significantly lower survival rates. Local recurrence was significantly more frequent in patients with positive surgical margins. Survival rates were significantly lower in metastatic patients.Conclusion: There are many factors that affect local recurrence and survival of soft tissue sarcomas. The size of the mass, the presence of necrosis, a high Ki-67 index, positive surgical margins, and the presence of metastasis are the main factors that should be taken into consideration.
  • Küçük Resim Yok
    Öğe
    Learning-based pronoun resolution for Turkish with a comparative evaluation
    (Academic Press Ltd- Elsevier Science Ltd, 2009) Kilicaslan, Yilmaz; Guner, Edip Serdar; Yildirim, Savas
    The aim of this paper is twofold. On the one hand, it attempts to explore several machine learning models for pronoun resolution in Turkish, a language not sufficiently studied with respect to anaphora resolution and rarely being subjected to machine learning experiments. On the other hand, this paper offers an evaluation of the classification performances of the learning models in order to gain insight into the question of how to match a model to the task at hand. In addition to the expected observation that each model should be tuned to an optimum level of expressive power so as to avoid underfitting and overfitting, the results also suggest that non-linear models properly tuned to avoid overfitting outperform linear ones when applied to the data used in our experiments. (C) 2008 Elsevier Ltd. All rights reserved.
  • Küçük Resim Yok
    Öğe
    Pronoun Resolution in Turkish Using Decision Tree and Rule-Based Learning Algorithms
    (Springer-Verlag Berlin, 2009) Yildirim, Savas; Kilicaslan, Yilmaz; Yildiz, Tugba
    This paper reports on the results of some pronoun resolution experiments performed by applying a decision tree and a rule-based algorithm on an annotated Turkish text. The text has been compiled mostly from various popular child stories in a semi-automatic way. A knowledge-lean learning model has been devised using only nine most commonly employed features. An evaluation and comparison of the performances achieved with the two different algorithms is offered in terms of the recall, precision and f-measure metrics.