Wos İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/11727/4807

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Author: search.filters.author.Erzin, Gamze

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    An Overview of Deep Learning Algorithms and Their Applications in Neuropsychiatry
    (2021) Guney, Gokhan; Yigin, Busra Ozgode; Guven, Necdet; Colak, Burcin; Alici, Yasemin Hosgoren; Erzin, Gamze; Saygili, Gorkem; 0000-0003-3384-8131; 33888650
    Deep learning (DL) algorithms have achieved important successes in data analysis tasks, thanks to their capability of revealing complex patterns in data. With the advance of new sensors, data storage, and processing hardware, DL algorithms start dominating various fields including neuropsychiatry. There are many types of DL algorithms for different data types from survey data to functional magnetic resonance imaging scans. Because of limitations in diagnosing, estimating prognosis and treatment response of neuropsychiatric disorders; DL algorithms are becoming promising approaches. In this review, we aim to summarize the most common DL algorithms and their applications in neuropsychiatry and also provide an overview to guide the researchers in choosing the proper DL architecture for their research.
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    Association between treatment motivation, addiction characteristics, craving and temperament traits in male patients with alcohol addiction
    (2020) Erzin, Gamze; Kilincel, Oguzhan; Kokurcan, Ahmet; Yirun, Merve Cingi; Okay, Ihsan Tuncer; Dalgar, Ilker; Goka, Erol
    Purpose: The aim of this study is to investigate the relationship between the treatment motivation, addiction characteristics, craving and temperament traits in male patients with alcohol addiction having inpatient treatment. Materials and Methods: Male patients diagnosed with alcohol addiction according to DSM-IV-TR having inpatient treatment at Ankara Numune Training and Research Hospital's Alcohol and Substance Abuse Treatment and Training Center (AMATEM) were included in the study. The patients were evaluated by sociodemographic data form, Penn Alcohol Craving Scale (PACS), Addiction Profile Index (API), The Stages of Change Readiness and Treatment Eagerness Scale (SOCRATES), Temperament Evaluation of Memphis, Pisa, Paris and San Diego Autoquestionnaire (TEMPS-A). Results: 85 male patients were included in the study. The mean age of the participants was 46.36 +/- 9.66. The mean of the years of using alcohol was 23.32 +/- 10.33. A positive correlation was found between API total score and PACS total score according to the study. Conclusion: Increasing craving severity aligned with increasing addiction severity may suggest that patients with high addiction severity should be given more care in terms of craving. The relationship between having a dominant temperament and craving, motivation and severity of addiction could not be determined in our study.