ABSTRACT
When the COVID-19 pandemic broke out in the beginning of 2020, it became crucial to enhance early diagnosis with efficient means to reduce dangers and future spread of the viruses as soon as possible. Finding effective treatments and lowering mortality rates is now more important than ever. Scanning with a computer tomography (CT) scanner is a helpful method for detecting COVID-19 in this regard. The present paper, as such, is an attempt to contribute to this process by generating an open-source, CT-based image dataset. This dataset contains the CT scans of lung parenchyma regions of 180 COVID-19-positive and 86 COVID-19-negative patients taken at the Bursa Yuksek Ihtisas Training and Research Hospital. The experimental studies show that the modified EfficientNet-ap-nish method uses this dataset effectively for diagnostic purposes. Firstly, a smart segmentation mechanism based on the k-means algorithm is applied to this dataset as a preprocessing stage. Then, performance pretrained models are analyzed using different CNN architectures and with our Nish activation function. The statistical rates are obtained by the various EfficientNet models and the highest detection score is obtained with the EfficientNet-B4-ap-nish version, which provides a 97.93% accuracy rate and a 97.33% F1-score. The implications of the proposed method are immense both for present-day applications and future developments.
ABSTRACT
BACKGROUND: Self-medication refers to taking medicine without consultation with a doctor or dentist, and it is an important health issue, especially during the COVID-19 pandemic. There are no data about parents' SM practices for their children's dental problems during the COVID-19 pandemic. The present study aims to evaluate parents' knowledge, attitudes, and practices regarding self-medication for their children's dental problems during the COVID-19 pandemic in Northern Turkey. METHODS: A cross-sectional survey was carried out in the pediatric dental clinic at Ondokuz Mayis University, Faculty of Dentistry, Department of Pediatric Dentistry, immediately after the COVID-19 lockdown ended. A total of 389 parents who agreed to participate in the study completed the questionnaire from July 1 to October 1. A questionnaire with 18 items was designed to collect information on the parents' knowledge and attitudes regarding when, why, and how to use drugs and on their practices on medicating their children. The collected data were analyzed using descriptive and analytical statistics (chi-square test). RESULTS: The majority of parents (n = 273; 70.2%) practiced self-medication for their children's dental problems. Self-medication with a previously prescribed medications was usually preferred by parents (n = 179; 62.2%). Analgesics (98%) were the most commonly used medicines by parents in their self-medication for their children's dental problems. CONCLUSION: Prevalence of self-medication practices for children's dental problems is high in Turkey during the COVID-19 pandemic. Therefore, new healthcare services, such as teledentistry, may be useful to overcome problems related to the self-medication of children during times when the ability to reach healthcare providers is limited, such as during pandemics.