Browsing by Author "Ince, Dilek"

Now showing 1 - 2 of 2

Citation - WoS: 64
Citation - Scopus: 76
Automated Patient-Specific Classification of Long-Term Electroencephalography
(Academic Press Inc Elsevier Science, 2014) Kiranyaz, Serkan; İnce, Türker; Zabihi, Morteza; Ince, Dilek
This paper presents a novel systematic approach for patient-specific classification of long-term Electroencephalography (EEG). The goal is to extract the seizure sections with a high accuracy to ease the Neurologist's burden of inspecting such long-term EEG data. We aim to achieve this using the minimum feedback from the Neurologist. To accomplish this, we use the majority of the state-of-the-art features proposed in this domain for evolving a collective network of binary classifiers (CNBC) using multi-dimensional particle swarm optimization (MD PSO). Multiple CNBCs are then used to form a CNBC ensemble (CNBC-E), which aggregates epileptic seizure frames from the classification map of each CNBC in order to maximize the sensitivity rate. Finally, a morphological filter forms the final epileptic segments while filtering out the outliers in the form of classification noise. The proposed system is fully generic, which does not require any a priori information about the patient such as the list of relevant EEG channels. The results of the classification experiments, which are performed over the benchmark CHB-MIT scalp long-term EEG database show that the proposed system can achieve all the aforementioned objectives and exhibits a significantly superior performance compared to several other state-of-the-art methods. Using a limited training dataset that is formed by less than 2 min of seizure and 24 min of non-seizure data on the average taken from the early 25% section of the EEG record of each patient, the proposed system establishes an average sensitivity rate above 89% along with an average specificity rate above 93% over the test set. (C) 2014 Elsevier Inc. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 1
Child With Ret Proto-Oncogene Codon 634 Mutation
(Turkish J Pediatrics, 2017) Ince, Dilek; Demirag, Bengu; Ataseven, Eda; Oymak, Yesim; Tuhan, Hale; Karakus, Osman Zeki; Hazan, Filiz; Mutafoğlu, Kamer
Herein we reported a 7-year-old child with RET proto-oncogene c634 mutation. Her mother had been diagnosed with medullary thyroid carcinoma (MTC), and treated six years ago. Heterozygous mutation of the RET proto-oncogene at c634 had been detected in her mother. Genetic analysis showed the presence of the same mutation in our patient. Thyroid functions were normal. Serum calcitonin level was found mildly elevated. Parathormone (PTH) and carcinoembrionic antigen (CEA) levels were normal. Prophylactic thyroidectomy and sampling of cervical lymph nodes were performed. Histopathologic examination revealed hyperplasia in thyroid C cells, and reactive lymphadenopathy. The risk of MTC has been reported 100% through the life of patients with RET protooncogene mutation. It has been reported that particularly patients with c634 mutation have more risk of occurence of metastatic and progressive/recurrent MTC. Prophylactic thyroidectomy, cervical lymph node dissection before 5-years-of-age should be considered for these patients.