Detection of Attention Deficit Hyperactivity Disorder Using Local and Global Features

Attention deficit hyperactivity disorder (ADHD) is a psychiatric condition that affects millions of children and many times last into adulthood. There is no single test that can show whether a person has ADHD. The symptoms vary from person to person. Therefore, it is hard to diagnose ADHD contrary to many physical illnesses. Our aim is to create methods to minimize human effort and increase accuracy of diagnosis of ADHD. We collected structural Magnetic Resonance Images (MRI) from 26 subjects: 11 controls and 15 children diagnosed with ADHD. The data was provided from NPIstanbul NeuroPsychiatric Hospital. We developed automatic, effective, rapid, and accurate framework for diagnosing ADHD. The models were built on the k-nearest neighbors algorithm (KNN) and naive Bayes using Matlab machine learning toolbox. Shape and texture feature extraction technique was used. Area, Perimeter, Eccentricity, EquivDiameter, Major Axis Length, Minor Axis Length, Orientation are characteristics used for shape feature extraction technique. Textural features of a magnetic resonance imaging were represented with first (mean, variance, skewness, kurtosis) and second order statistical (contrast, correlation, homogeneity, energy) based feature extraction techniques. Gray and white regions were extracted using k-means algorithms. Local features were extracted from these regions by shape and texture methods. Global features were extracted with second order statistics which is called gray level co-occurrence method. The most important attribute was determined by using principal component analysis. The experiments were conducted on a full training dataset including 26 instance and 5 fold cross validation was adopted for randomly sampling training and test sets. ADHD is successfully classified with 100 % accuracy by using the proposed method. The outcome of our study will reduce the number medical errors by informing physicians in their efforts of diagnosing ADHD

Demographics of patients with heart failure who were over 80 years old and were admitted to the cardiology clinics in Turkey

WOS: 000468584300005PubMed ID: 30930455Objective: Heart failure (HF) has a high prevalence and mortality rate in elderly patients; however, there are few studies that have focused on patients older than 80 years. The aim of this study is to describe and compare the age-specific demographics and clinical features of Turkish elderly patients with HF who were admitted to cardiology clinics. Methods: The Epidemiology of Cardiovascular Disease in Elderly Turkish population (ELDER-TURK) study was conducted in 73 centers in Turkey, and it recruited a total of 5694 patients aged 65 years or older. In this study, the clinical profile of the patients who were aged 80 years or older and those between 65 and 79 years with HF were described and compared based on the ejection fraction (EF)-related classification: HFrEF and HFpEF (is considered as EF: >= 50%). Results: A total of 1098 patients (male, 47.5%; mean age, 83.5 +/- 3.1 years) aged 80 years and 4596 patients (male, 50.2 %; mean age, 71.1 +/- 4.31 years) aged 65-79 years were enrolled in this study. The prevalence of HF was 39.8% for patients who were >= 80 years and 27.1% for patients 65-79 years old. For patients aged >= 80 years with HF, the prevalence rate was 67% for hypertension (HT), 25.6% for diabetes mellitus (DM), 54.3% for coronary artery disease (CAD), and 42.3% for atrial fibrilation. Female proportion was lower in the HFrEF group (p=0.019). The prevalence of HT and DM was higher in the HFpEF group (p= 80 years with HFrEF (p<0.01). Conclusion: HF is common in elderly Turkish population, and its frequency increases significantly with age. Females, diabetics, and hypertensives are more likely to have HFpEF, whereas CAD patients are more likely to have HFrEF.Turkish Society of CardiologyThis study was supported by Turkish Society of Cardiology

Epidemiological, Clinical, and Laboratory Features of Children With COVID-19 in Turkey

Objectives: The aim of this study is to identify the epidemiological, clinical, and laboratory features of coronavirus disease 2019 (COVID-19) in children

Demographics of patients with heart failure who were over 80 years old and were admitted to the cardiology clinics in Turkey

Objective: Heart failure (HF) has a high prevalence and mortality rate in elderly patients; however, there are few studies that have focused on patients older than 80 years. The aim of this study is to describe and compare the age-specific demographics and clinical features of Turkish elderly patients with HF who were admitted to cardiology clinics. Methods: The Epidemiology of Cardiovascular Disease in Elderly Turkish population (ELDER-TURK) study was conducted in 73 centers in Turkey, and it recruited a total of 5694 patients aged 65 years or older. In this study, the clinical profile of the patients who were aged 80 years or older and those between 65 and 79 years with HF were described and compared based on the ejection fraction (EF)-related classification: HFrEF and HFpEF (is considered as EF: >= 50\%). Results: A total of 1098 patients (male, 47.5\%; mean age, 83.5 +/- 3.1 years) aged 80 years and 4596 patients (male, 50.2 \%; mean age, 71.1 +/- 4.31 years) aged 65-79 years were enrolled in this study. The prevalence of HF was 39.8\% for patients who were >= 80 years and 27.1\% for patients 65-79 years old. For patients aged >= 80 years with HF, the prevalence rate was 67\% for hypertension (HT), 25.6\% for diabetes mellitus (DM), 54.3\% for coronary artery disease (CAD), and 42.3\% for atrial fibrilation. Female proportion was lower in the HFrEF group (p=0.019). The prevalence of HT and DM was higher in the HFpEF group (p<0.01), whereas CAD had a higher prevalence in the HFrEF group (p=0.02). Among patients aged 65-79 years, 43.9\% (548) had HFpEF, and 56.1\% (700) had HFrEF. In this group of patients aged 65-79 years with HFrEF, the prevalence of DM was significantly higher than in patients aged >= 80 years with HFrEF (p<0.01). Conclusion: HF is common in elderly Turkish population, and its frequency increases significantly with age. Females, diabetics, and hypertensives are more likely to have HFpEF, whereas CAD patients are more likely to have HFrEF