A systematic review: Chest radiography images (X-ray images) analysis and COVID-19 categorization diagnosis using artificial intelligence techniques.

COVID-19 pandemic created a turmoil across nations due to Severe Acute Respiratory Syndrome Corona virus-1(SARS - Co-V-2). The severity of COVID-19 symptoms is starting from cold, breathing problems, issues in respiratory system which may also lead to life threatening situations. This disease is widely contaminating and transmitted from man-to-man.

Clinical and Molecular Spectrum of Degenerative Cerebellar Ataxia: A Single Centre Study.

Background: Cerebellar ataxia is a disabling neurological symptom with extreme clinical and etiological heterogeneity.

Objective: To study the clinical and molecular characteristics in patients with degenerative cerebellar ataxia.

Materials And Methods: In this study, 150 South-Indian patients with degenerative cerebellar ataxia underwent a phenotype guided, sequential tiered testing.

An integrated multi-objective whale optimized support vector machine and local texture feature model for severity prediction in subjects with cardiovascular disorder.

Purpose: The left ventricle (LV) myocardium undergoes deterioration with the reduction in ejection fraction (EF). The analysis of its texture pattern plays a major role in diagnosis of heart muscle disease severity. Hence, a classification framework with co-occurrence of local ternary pattern feature (COALTP) and whale optimization algorithm has been attempted to improve the prediction accuracy of disease severity level.

Deep CNN with LM learning based myocardial ischemia detection in cardiac magnetic resonance images.

Cardiovascular disease (CVD) is a chronic dysfunction caused by deterioration in cardiac physiology. It results in about 31% of mortality worldwide. Among CVDs, myocardial ischemia (MI) leads to restriction in blood supply to heart tissues.

Health-seeking behaviour among antenatal and postnatal rural women in Kancheepuram District of Tamil Nadu: A cross-sectional Study.

Introduction: Maternal morbidity and mortality is still a major public health challenge. Lack of proper birth plan and delay in identification of pregnancy complications is one of the major causes of maternal morbidities and deaths, especially in the rural areas.

Aim: The study was conducted with the aim to evaluate the health-seeking behaviour for obstetric care services among the antenatal and postnatal mothers in a rural area of Tamil Nadu.