Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...) potatoes, which can be classified into a number of categories based on the cooked texture and ingredient functionality. Using a public dataset of 2400 images of potatoes, we trained a deep convolutional neural network to identify 4 types (Red, Red Washed, Sweet, and White).The trained model achieved an accuracy of 99.5% of test set, demonstrating the feasibility of this approach. (shrink)

There are many eye diseases but the most two common retinal diseases are Age-Related Macular Degeneration (AMD), which the sharp, central vision and a leading cause of vision loss among people age 50 and older, there are two types of AMD are wet AMD and DRUSEN. Diabetic Macular Edema (DME), which is a complication of diabetes caused by fluid accumulation in the macula that can affect the fovea. If it is left untreated it may cause vision loss. Therefore, early detection (...) of diseases is a critical importance. Our main goal is to help doctors detect these diseases quickly before reaching a late stage of the disease. In ophthalmology, optical coherence tomography (OCT) is critical for evaluating retinal conditions. OCT is an imaging technique used to capture high-resolution cross-sections of the retinas of patient. In this thesis, we review ways and techniques to use deep learning classification of the optical coherence tomography images of diseases from which a Retinal is suffering. The models used to improve patient care are (VGG-16, MobileNet, ResNet-50, Inception V3, and Xception) to reduce costs and allow fast and reliable analysis in large studies. The obtained results are encouraging, since the best model ResNet-50 reaching 96.21% of testing accuracy, which is very useful for doctors, to diagnose retinal diseases. (shrink)

Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main goal (...) of this expert system is to get the appropriate diagnosing of the illness, dealing with it quickly, and tips for permanent treatment whenever possible is given out. SL5 object expert system language was used for designing and implementing the proposed expert system. (shrink)

Background Bronchial asthma is one of the most common chronic conditions among children. Despite the improvement in asthma treatment regimens, its prevalence and related morbidity are increasing, especially among underserved, minority children. There are barriers in the management of asthma, which may impact the quality of outcomes. The goal of this study is to explore these barriers. Methods A cross-sectional study was conducted on interview data collected through 2019 from mothers of children (aged 6 - 12 years) with asthma visiting, (...) for convenience, a public shopping mall. The interviewees were randomly selected, because they met the inclusion criteria. Participants were considered if the mother answered “yes” to the following questions: Has your child had physician-diagnosed asthma? Is your child currently taking asthma medications of asthma? Two community nurses conducted the interviews. Data was obtained using administrative questionnaires. Data were analyzed using SPSS version 21.0 (IBM Inc., Chicago, IL, USA). Descriptive statistics of percentage, mean, frequency and standard deviation were applied for categorical and continuous variables. Results Three hundred mothers participated in this study. Their average age was 36.8 years, 55% were housekeepers by profession, and 34% had obtained less than high school education. The majority of children (61%) were males, 45% had moderate asthma, and 42% had mild asthma. The most frequent types of barriers identified by parents were environmental factors (67.7%), followed by health care providers (63%), the health care system (48%), and patient or family characteristics (43%). Mothers were specifically concerned about the use, safety, and long-term complications of medications, the impact of exercise limitation on their child’s quality of life, and their own quality of life. Conclusion This study showed several barriers against asthma care in Saudi Arabia, which mainly related to environmental or personal characteristics. This highlights the need to enhance current policies within the health care system in Saudi Arabia to overcome these barriers. (shrink)