Online ISSN: 2515-8260

Keywords : Disease


ACUTE BACK PAIN: DIAGNOSIS AND TREATMENT

Bakhtiyar Gafurov; Zamira Babadjanova; Dilrabo Khalimova

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 2521-2525

Abstract: Back pain is a syndrome that can be associated with degenerative-dystrophic
changes in the spine, muscle damage and diseases, damage to the nervous system (the spinal
cord, its roots, and peripheral nerves), pathology of the internal organs of the thoracic and
abdominal cavities, pelvis, and mental disorders. The most common cause of acute back pain
is changes that occur when the muscles, ligaments, or joints of the spine are overloaded

A Study On Covid-19 Data Of India, Andhra Pradesh And Telangana Using Machine Learning Algorithms

K.L.S. Soujanya; Challa Madhavi Latha; N. Sandeep Chaitanya

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 7, Pages 371-380

The epidemic of Covid-19 has created a disastrous situation around the globe. The spread of Covid-19 is drastically increasing day by day. Machine learning is one of the efficient tools to track the outbreak of the disease, forecast the probable confirmed and death cases as well as the fatality rate. This study applies multiple regression analysis which is one of the supervised machine learning algorithms to analyze and forecast the fatality rate. The study was conducted to predict the spread of Covid-19 in areas of Telangana, Andhra Pradesh, and India. R-Square (R2), Mean square error (MSE), Root mean square error (RSME) and Mean absolute error (MAE) are the main measures used to predict the accuracy of the algorithm. The results reveal that the case fatality rate is higher in Telangana compared to Andhra Pradesh and India, and more diseased cases are observed in Andhra Pradesh. The study was conducted with the available data; if sufficient data is available then the more precise predictions could be possible using multiple regression analysis.

The Likelihood Of Development Of Periodontal Disease Based On Multivariate Analysis

Akilov X.A.; Bekzhanova O. E.; Rizaev E. A.; Olimjanov K. J

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 3935-3940

the solution of the problem lies in determining the integral indicator of the load of risk factors for generalized periodontitis, which takes into account the prevalence of risk factors and their contribution to the occurrence of the disease.
The purpose of this study is to analyze the population determinants of the risk of developing generalized periodontitis

Metabolic Syndrome and Framingham Risk Score in Coronary Artery Disease Cases

Ganesh Shankarrao Thorat; Virendra C. Patil

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 1, Pages 74-79

Metabolic syndrome is a group of simultaneous conditions that expanding your risk of heart disease, stroke, and type 2 diabetes. These conditions include increased blood pressure, high glucose level, and abundance muscle versus fat around the abdomen or triglyceride levels. The objective of the study is to demographic, biochemical, obesity indices and angiographic profile (severity of CAD) of patients with coronary artery disease (CAD). A prospective and observational study involving a number of 971 patients who had undergone coronary angiogram (CAG) for the 18-month CAD assessment. In present study about half of population had significant abnormality on coronary angiogram. Amongst abnormal coronary angiogram about 50% of patients had single vessel disease. The FRS had positive correlation with severity of coronary artery disease and waist circumference. FRS and metabolic syndrome had critical contribution as score and risk factors with presence of and severity of CAD. To conclude it was suggested to incorporate FRS and components of metabolic syndrome for better management and risk stratification of coronary artery disease at large.