Editorial: Optimising Antibiotic Use: Social and Contextual Issues

Sentiment Classification of Social Issues Using Contextual Valence Shifters

The growth of science and technology contributes in the growth of social website and electronic media at vast scale. Due to development in field of information technology, all information about anything is globally available on internet, which is great source of data and information. Data or data sets available on internet in unstructured form. To analysis the unstructured data, we need method ...

Antibiotic use and the development of Crohn's disease: methodological issues.

Antibiotic use in the elderly: issues and nonissues.

Despite the well-recognized increase in mortality and morbidity due to infections in the elderly, antibiotics may, in most cases, be used in a manner similar to that in younger patients. The decreased lean body weight and reduced renal function typical of elderly patients, however, require consideration of reduced doses and longer dosing intervals, especially for renally excreted antibiotics. L...

Optimising Antibiotic Usage to Treat Bacterial Infections

The increase in antibiotic resistant bacteria poses a threat to the continued use of antibiotics to treat bacterial infections. The overuse and misuse of antibiotics has been identified as a significant driver in the emergence of resistance. Finding optimal treatment regimens is therefore critical in ensuring the prolonged effectiveness of these antibiotics. This study uses mathematical modelli...

Optimising Agile Social Media Analysis

Agile social media analysis involves building bespoke, one-off classification pipelines tailored to the analysis of specific datasets. In this study we investigate how the DUALIST architecture can be optimised for agile social media analysis. We evaluate several semi-supervised learning algorithms in conjunction with a Naı̈ve Bayes model, and show how these modifications can improve the performa...