Methodology of classification, forecast and prediction of healthcare providers accredited in high quality in Colombia

This research presents a methodology for classification, forecasting and prediction of healthcare providers accredited in Colombia. For this purpose, a quantitative, descriptive and predictive analysis was carried out of 27 institutions accredited in Colombia by 2016. Consequently, the machine learning techniques cluster analysis and artificial neural networks were used to define business profiles of the institutions under study. The method classifying, forecasting and predicting the membership of a healthcare provider to a business profile, previously created based on the high-quality patterns of accreditation. The input variables were assets, account receivable, inventory, property and equipment and the output variables health service sales and net profit. The cluster analysis defined two main groups. 1) accredited institutions in the process of financial consolidation; 2) accredited institutions financially sound. The process of forecasting and prediction through the creation of an artificial neural network yielded a 95% CI (088, 0.9975) precision in the classification, and 100% and 80% for sensitivity and specificity values respectively. The results evidence the capacity of the proposed methodology to recognise the characteristics and association patterns of HCP accredited in high quality

Special issue on agreement technologies

The final publication is available at Springer via http://dx.doi.org/10.1007/s10796-015-9584-zMost would agree that large-scale open distributed systems are an area of enormous social and economic potential. In fact, regardless of whether they are realised for the purpose of business or leisure, in a private or a public context, people’s transactions and interactions are increasingly mediated by computers. The resulting networks are usually large in scale, involving millions of interactions, and are open for the interacting entities to join or leave at will. We have been experiencing a paradigm shift in the way that such systems are built, enacted, and managed: away from rigid and centralised client–server architectures, towards more flexible and decentralised means of interaction. Nowadays, there is a growing awareness that the notion of agreement and agreement processes will be of key importance for the next generation of such decentralised large-scale open distributed systems (Ossowski et al. 2013).Ivan Chesnevar, C.; Onaindia De La Rivaherrera, E.; Ossowski, S.; Vouros, G. (2015). Special issue on agreement technologies. Information Systems Frontiers. 17(4):707-711. doi:10.1007/s10796-015-9584-zS707711174Bisdikian, C., Cerutti, F., Tang, Y., & Oren, N. (2015). Reasoning about impacts of information sharing. Information Systems Frontiers, 17(4). doi: 10.1007/s10796-014-9521-6 .Casanovas, P. (2013) Agreement and relational justice - a perspective from philosophy and sociology of law. In S. Ossowski et al. (Eds.), Agreement technologies. Law, governance and technologies series (Vol. 8, pp. 17–41). Springer Verlag.Centeno, R., Hermoso, R., & Fasli, M. (2015). On the inaccuracy of numerical ratings: dealing with biased opinions in social networks. Information Systems Frontiers, 17(4). doi: 10.1007/s10796-014-9526-1 .Cerutti, F., Kaplan, L. M., Norman, T. J., Oren, N., & Toniolo, A. (2015). Subjective logic operators in trust assessment: an empirical study. Information Systems Frontiers, 17(4). doi: 10.1007/s10796-014-9522-5 .Cong, Z., & Fernandez, A. (2015). Service discovery acceleration with hierarchical clustering. Information Systems Frontiers, 17(4). doi: 10.1007/s10796-014-9525-2 .Heras, S., Botti, V., & Julian, V. (2015). An ontological- based knowledge-representation formalism for case-based argumentation. Information Systems Frontiers, 17(4). doi: 10.1007/s10796-014-9524-3 .Hermoso, R., Lopes Cardoso, H., & Fasli, M. (2015). From roles to standards: a dynamic maintenance Information Systems Frontiers, 17(4). doi: 10.1007/s10796-014-9523-4 .Ossowski, S., et al. (Eds.) (2013). Agreement technologies. Law, governance and technologies series (Vol. 8). Springer Verlag.Ossowski, S., Sierra, C., Botti, V. (2013) Agreement technologies - a computing perspective. In S. Ossowski et al. (Eds.), Agreement technologies. Law, governance and technologies series (Vol. 8, pp. 3–16). Springer Verlag.Paglieri, F. (2013) Agreements as the Grease (Not the Glue) of society - a cognitive and social science perspective. In S. Ossowski et al. (Eds.), Agreement technologies. Law, governance and technologies series (Vol. 8, pp. 43–67). Springer Verlag.Pedersen, T., Dyrkolbotn, S., & Agotnes, T. (2015). Reasoning about reasons behind preferences using modal logic. Information Systems Frontiers, 17(4). doi: 10.1007/s10796-014-9520-7 .Wooldridge, M., & Jennings, N. (1995). Intelligent agents - theory and practice. Knowledge Engineering Review, 10(2), 115–152