This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Faculty of Technical Sciences Čačak, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences Čačak, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences Čačak, University of Kragujevac , Kragujevac , Serbia
University children's clinic Tiršova , Belgrade , Serbia
University children's clinic Tiršova , Belgrade , Serbia
Faculty of Technical Sciences Čačak, University of Kragujevac , Kragujevac , Serbia
This study shows the use of regression algorithms in predicting the ideal weight of children during the process of haemodialysis. The data regarding height and weight for calculating the BMI (Body Mass Index) are collected at the University Children’s Hospital Tirsova in Belgrade. In addition, bioimpedance, haematocrit and blood pressure are measured. The collected data are preprocessed and transformed before the application of regression algorithms. The application of regression algorithms predicts the ideal weight of the patient, which, in practice, is determined by the attending physician. Two types of errors are used for the evaluation: mean absolute error (MAE) and root mean squared error (RMSE). The results indicate satisfactory accuracy, while future work refers to the implementation of algorithms through a smart watch which would enable the timely receipt of the information regarding the ideal weight.
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.
