Support Vector Machines (SVMs) are supervised learning models used to examine data sets in order to classify or predict dependent variables. SVM is typically used for classification by determining the best hyperplane between two classes. However, working with huge datasets can lead to a number of problems, including time-consuming and inefficient solutions. This research updates the SVM by employing a stochastic gradient descent method. The new approach, the extended stochastic gradient descent SVM (ESGD-SVM), was tested on two simulation datasets. The proposed method was compared with other classification approaches such as logistic regression, naive model, K Nearest Neighbors and Random Forest. The results show that the ESGD-SVM has a very high accuracy and is quite robust. ESGD-SVM is used to analyze the heart disease dataset downloaded from Harvard Dataverse. The entire analysis was performed using the program R version 4.3.
Background: Fibromyalgia has been associated with physical and emotional trauma including invasive medical procedures. Both Fibromyalgia and ischemic heart disease have been linked with depression. The aim of the study is to assess the prevalence of fibromyalgia syndrome in patients with ischemic heart disease.Patients and Methods: A cross-sectional comparative study was done in the Iraqi Center for Heart Disease. One hundred patients, angiographically proved to have ischemic heart disease, were subjected to rheumatologic examination by another physician, and compared to hundred healthy individuals as a control group. Diagnosis of fibromyalgia was based on 1990 American College of Rheumatology Classification criteria for the diagnosis of
... Show MoreHeart diseases are diverse, common, and dangerous diseases that affect the heart's function. They appear as a result of genetic factors or unhealthy practices. Furthermore, they are the leading cause of mortalities in the world. Cardiovascular diseases seriously concern the health and activity of the heart by narrowing the arteries and reducing the amount of blood received by the heart, which leads to high blood pressure and high cholesterol. In addition, healthcare workers and physicians need intelligent technologies that help them analyze and predict based on patients’ data for early detection of heart diseases to find the appropriate treatment for them because these diseases appear on the patient without pain or noticeable symptoms,
... Show MoreCompanies compete greatly with each other today, so they need to focus on innovation to develop their products and make them competitive. Lean product development is the ideal way to develop product, foster innovation, maximize value, and reduce time. Set-Based Concurrent Engineering (SBCE) is an approved lean product improvement mechanism that builds on the creation of a number of alternative designs at the subsystem level. These designs are simultaneously improved and tested, and the weaker choices are removed gradually until the optimum solution is reached finally. SBCE implementations have been extensively performed in the automotive industry and there are a few case studies in the aerospace industry. This research describe the use o
... Show MoreBackground: Congenital heart disease is one of the most common developmental anomalies in children. These patients commonly have poor oral health that increase caries risk. Dental management of children with congenital heart disease requires special attention, because of their heightened susceptibility to infectious endocarditis. The aims of this study were to assess the severity of dental caries of primary and permanent teeth and treatment needs in relation to nutritional indicator (Body Mass Index) among children with congenital heart disease. Materials and Methods: In this case-control study, case group consisted of 399 patients aged between 6-12 years old with congenital heart disease were examined for dental status in Ibn Al-Bitar spec
... Show MoreBackground:recent data indicate the prevalence of cardiovascular disease in patientswith high cystatin-C level;it can be used as a good predictor for assessment of mortality in cardiovascular diseases regardless of the status of renal function.
Patients and methods: Onehundred twenty (120) patients with ischemic heart disease admitted to this study at Baghdad teaching hospital for the period from January 2011 to September2011,Those patients categorized into two groups (60) diabetic and (60) non diabetic in comparison to fifty healthy control.Fasting serum cystatin-C was measured in all patients and controls.
Results: The level of serum cystatin-C, in diabetic patients with ischemic heart disease was (2.05±0.55 μg/L). Its level in
This paper deals with testing a numerical solution for the discrete classical optimal control problem governed by a linear hyperbolic boundary value problem with variable coefficients. When the discrete classical control is fixed, the proof of the existence and uniqueness theorem for the discrete solution of the discrete weak form is achieved. The existence theorem for the discrete classical optimal control and the necessary conditions for optimality of the problem are proved under suitable assumptions. The discrete classical optimal control problem (DCOCP) is solved by using the mixed Galerkin finite element method to find the solution of the discrete weak form (discrete state). Also, it is used to find the solution for the discrete adj
... Show MoreBackground: the most common underlying cause of left ventricular (LV) diastolic dysfunction is myocardial ischemia. Diastolic dysfunction has been reported in up to 90% of patients with coronary artery disease.
The speaker identification is one of the fundamental problems in speech processing and voice modeling. The speaker identification applications include authentication in critical security systems and the accuracy of the selection. Large-scale voice recognition applications are a major challenge. Quick search in the speaker database requires fast, modern techniques and relies on artificial intelligence to achieve the desired results from the system. Many efforts are made to achieve this through the establishment of variable-based systems and the development of new methodologies for speaker identification. Speaker identification is the process of recognizing who is speaking using the characteristics extracted from the speech's waves like pi
... Show MoreBackground: Diabetes mellitus is a major risk factor for coronary artery disease, with a higher incidence of myocardial infarction and sudden death. Left ventricular dysfunction is difficult to diagnose and to differentiate into diastolic and systolic dysfunction on the basis of medical history, physical examination, electrocardiography (ECC) and chest radiography. Two-dimensional, M-mode, and Doppler echocardiography are excellent for diagnosing left ventricular dysfunction. M-mode echocardiography was used for diagnosing left ventricular systolic dysfunction, while Doppler echocardiography has become well accepted as a reliable, reproducible and practical noninvasive method for the diagnosis of left v
... Show MoreBackground: The highest concentrations of
blood glucose during the day are usually found
postprandialy. Postprandial hyperglycemia (PPH)
is likely to promote or aggravate fasting
hyperglycemia. Evidence in recent years suggests
that PPH may play an important role in functional
& structural disturbances in different body organs
particularly the cardiovascular system.
Objective: To evaluate the effect of (PPH) as a
risk factor for coronary Heart disease in Type 2
diabetic patients.
Methods: Sixty-three type2 diabetic patients
were included in this study. All have controlled
fasting blood glucose, with HbA1c correlation.
They were all followed for five months period
(from May to October 2008)