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Accurate and transparent blood glucose forecasting is crucial for effective diabetes management. This paper presents an interpretable deep learning (DL) framework based on multi-task learning (MTL) for forecasting glucose levels at multiple prediction horizons…

In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …

Diyabet, bireyin ve ailesinin yaşamını çeşitli boyutları ile etkileyen, zorunlu yaşam tarzı değişikliklerini gerektiren, komplikasyonları nedeni ile yaşam kalitesini azaltan kronik bir hastalıktır. Tüm kronik hastalıklarda olduğu gibi sık görülen, tedavisi s…

In this study, we aimed to investigate the effect of the anxiety on blood pressure and heart rate in periexam period. For this purpose, 83 paramedic first class students (19.2±1.0 year old) were included. The blood pressure and heart rate were measured in the …

Uyku bozuklukları toplumda yaygın olarak görülen bir halk sağlığı sorunudur. Uyku; zaman, ışık, beslenme gibi birçok çevresel faktörden etkilenen 24 saatte bir tekrar eden sirkadiyen ritmin önemli bir parçasıdır. Uyku bozuklukları; İnsomnia [kronik uykusuzluk]…

The aim of this study was to investigate the effects of melatonin administraton on bone tissue damage  in a diabetic elderly female rat model. The study was performed on female aged rats (16 months old) who were provided by The Experimental Medicine Research a…

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…

Traffic flow forecasting has an important place in designing a successful intelligent transportation system. The success of the forecasting is related to the accuracy and timely acquisition of the traffic flow data. The inadequacy in the number of data has led…

The aim of this study was to investigate how melatonin administration  diabetic elderly female  rats affects the levels of bone tissue SIRT1. The study was performed on female aged rats (16 months old) who were provided by The Experimental Medicine Research an…

The aim of this study was to investigate how resveratrol administration  diabetic elderly female  rats affects the levels of bone tissue SIRT1. The study was performed on female aged rats (16 months old) who were provided by The Experimental Medicine Research …

 P300, especially P3b, the third positive peak with near 350ms associated with occipito-patieto-temporal region of the brain, is mainly responsible for categorization of different objects. So, this study investigates the nature of amplitude and reaction time d…

This study was conducted to assess the effects of 5 types of water: Ozonated, Chlorinated, Celestite Stone-treated, Natural Spring Waters and PinResin-treated water on performance, oxidative stress and carcass parameters in Japanese quail. A total of 150, 3-…

The successful estimation of future electricity consumption has a crucial importance in the energy planning. Because, in order to meet rising energy demand, policy makers should formulate electricity supply policies and make critical decisions and develop ne…

Kanser küresel olarak ölümlere neden olan ciddi bir halk sağlığı sorunudur. Bu sağlık sorununun nedenleri genetik (%5) ve çevresel etmenler (%95) olarak iki gruba ayrılmaktadır. Çevresel etmenler arasında ise beslenme alışkanlıklarının kanser oluşumunda önem…

Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…

The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…

The health need is undoubtedly an indispensable necessity for human life. When the literature is examined, it is seen that various health monitoring systems are developed by helping to meet the health need with technological improvements. Some of these studies…

In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …

The aim of this study is to determine instantaneous irradiance and annual percentile sunlit time on the available rooftop floor area of Technical and Social Science Vocational School at Usak University by simulation using open source software. The building of …

E-commerce is evolving rapidly, creating a more competitive market environment. With this development, gaining a competitive advantage has become even more crucial. Companies implement various strategic moves to maintain their position in this competitive mark…