Evidence about tele-oncology applications and associated benefits for patients and their families

We conducted a systematic review of evidence on the ability of tele-oncology applications to improve access to care closer to home for adult rural patients affected by cancer. From 269 publications identified in the literature search, 54 studies met our inclusion criteria. Forty two were clinical studies (32 quantitative, eight qualitative and two that included both quantitative and qualitative methodology). Strength of evidence from quantitative clinical studies was assessed using an approach that takes account of both study design and study quality. Qualitative studies were appraised by giving scores for six areas of interest. In terms of the continuum of cancer care, the most common study area was psychosocial and supportive care. While there were a number of high quality studies, overall the evidence of benefit from tele-oncology was limited and few investigations had proceeded beyond the stage of establishing feasibility. The literature suggests some useful possibilities for new services to cancer patients in rural areas but it seems likely that these would need validation with suitable local studies.

Developing context-aware pervasive computing applications: Models and approach

There is growing interest in the use of context-awareness as a technique for developing pervasive computing applications that are flexible, adaptable, and capable of acting autonomously on behalf of users. However, context-awareness introduces a variety of software engineering challenges. In this paper, we address these challenges by proposing a set of conceptual models designed to support the software engineering process, including context modelling techniques, a preference model for representing context-dependent requirements, and two programming models. We also present a software infrastructure and software engineering process that can be used in conjunction with our models. Finally, we discuss a case study that demonstrates the strengths of our models and software engineering approach with respect to a set of software quality metrics.

IJDWM Special Issue: Advances in Data Mining Applications

This special issue is a collection of the selected papers published on the proceedings of the First International Conference on Advanced Data Mining and Applications (ADMA) held in Wuhan, China in 2005. The articles focus on the innovative applications of data mining approaches to the problems that involve large data sets, incomplete and noise data, or demand optimal solutions.