2 research outputs found
Discovering interesting classification rules with genetic programming
Data mining deals with the problem of discovering novel and interesting knowledge from large amount of data. This problem is often performed heuristically when the extraction of patterns is difficult using standard query mechanisms or classical statistical methods. In this paper a genetic programming framework, capable of performing an automatic discovery of classification rules easily comprehensible by humans, is presented. A comparison with the results achieved by other techniques on a classical benchmark set is carried out. Furthermore, some of the obtained rules are shown and the most discriminating variables are evidenced
Direct and indirect costs incurred by Australian living kidney donors
Aim: To describe the direct and indirect costs incurred by Australian living kidney donors. Methods: A total of 55 living kidney donors from three centres in Perth, Australia and one centre in Melbourne, Australia (2010-2014) was studied. Forty-nine donors provided information on expenses incurred during the donor evaluation period and up to 3 months after donation. A micro-costing approach was used to measure and value the units of resources consumed. Expenses were grouped as direct costs (ground and air travel, accommodation, and prescription medications) and indirect costs (lost wages and lost productivity). Costs were standardized to the year 2016 in Australian dollars. Results: The most common direct costs were for ground travel (100%), parking (76%), and post-donation pain medications or antibiotics (73%). The highest direct costs were for air travel (median 459 [49 donors]). Donors also reported lost wages (median 1682 per donor (median 7249 per donor (median 8932 per donor (median $7963 among 49 donors). Conclusion: Many Australian living kidney donors incur substantial costs during the donation process. Our findings inform the continued development of policies and programmes designed to minimize costs incurred by living kidney donors.Lianne Barnieh, John Kanellis, Stephen McDonald, Jennifer Arnold, Jessica M. Sontrop, Meaghan Cuerden, Scott Klarenbach, Amit X. Garg and Neil Boudville for the Donor Nephrectomy Outcomes Research (DONOR) Networ