Machine Learning based Heart Murmur Detection and Classification.

Cardiovascular diseases rank among the leading causes of mortality worldwide and the early identification of diseases is of paramount importance. This work focuses on developing a novel machine learning-based framework for early detection and classification of heart murmurs by analysing phonocardiogram signals. Our heart murmur detection and classification pipeline encompasses three classification settings.

Persistence with urate-lowering therapy in Australia: A longitudinal analysis of allopurinol prescriptions.

Aim: Gout is the most common form of inflammatory arthritis in men. Despite the availability of effective urate-lowering therapies (ULT), the management of gout is suboptimal due to poor persistence with ULT. This study examined national prescribing patterns of ULT to determine persistence with allopurinol in Australia.

Expanding the role of Australian community dietitians in gout management.

Aim: Gout is a common form of inflammatory arthritis with suboptimal management. Management guidelines for gout highlight the importance of both pharmacological and non-pharmacological treatments. Dietitians can potentially assist in improving gout's associated dietary and lifestyle factors, and thereby play a role in improving its management.

Infections with Unusual Modes of Transmission from Animals to Humans: A Study of 79 Cases with 34 Nonbite Transmissions.

Pasteur discovered the causative agent of fowl cholera () in 1880. Since then, multiple zoonotic infections affecting humans have been reported. infections usually result from bites of cats or dogs.

Occurrence of major and potential malaria vector immature stages in different breeding habitats and associated biotic and abiotic characters in the district of Trincomalee Sri Lanka.

Background & Objectives: Understanding the effect of biotic and abiotic factors on the biology and ecology of immature stages of anopheline larvae is very important in controlling malaria vector mosquitoes. Therefore, this study was focused on the monitoring of ecological factors affecting the distribution, dynamics, and density of malaria vector mosquitoes in the District of Trincomalee, Sri Lanka.

Methods: Permanent and temporary breeding habitats were identified and selected from five possible malaria sensitive sites in the district of Trincomalee.