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

Abstract

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.

An Asymmetric Ensemble Method for Determining the Importance of Individual Factors of a Univariate Problem

“…Samaneh Sheikh-Nia solved the same problem using standard and ensemble-based classification techniques. As mentioned in Section 2.1, many studies on the application of classification methods in determining the influence of different types of factors, from medical and social to economic, including both classification and prediction, could be found in the literature [45]. These methods were used in the diagnosis and prediction of the development of various diseases, such as breast cancer [46], HIV [47], and COVID-19 [48], but the authors have not found any application similar to the proposed generic methodology.…”

An Ensemble Method for Determining the Importance of Selected Social and Health Factors Affecting the Inpatient Treatment Quality

“…As we have already mentioned in the previous subchapter 2. 1 Literature review, in the literature we could find a lot of work that deals with the application of classification methods in determining the influence of different types of factors, from medical and social to economic, including, in addition to classification, forecasting and prediction [70]. F It could be also used in the diagnosis and prediction of the development of various diseases, such as breast 6 cancer in [71], HIV in [72], COVID19 in [73] etc.…”