MATHEMATICALLY UNIVERSALIZED ESTIMATIONS OF MEDICAL RESULTS

Authors

DOI:

https://doi.org/10.37560/matbil17200054v

Keywords:

algorithm, measure, pseudo-additive measure, matrix, curve, expectation, signed area, medication effect, estimate, graphics

Abstract

The methodology of medical-data-analysis is improved here. Three novel computational algorithms for medical data analysis are presented in this paper. The first of them analyzes a state of single patient. The second algorithm analyzes a status of group of patients based on states of single patients from this group. The third algorithm compares previously analyzed effects of different groups of patients. Measure characteristics of results of the first algorithm are examined.

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Published

2017-01-01

Issue

Vol. 41 No. 2 (2017): 41 (LXVII) 2 (2017)

Section

Articles

License

Copyright (c) 2017 Matematichki Bilten

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
N. O. Vesić, L. Maćukanović-Golubović, and D. Ilić, “MATHEMATICALLY UNIVERSALIZED ESTIMATIONS OF MEDICAL RESULTS”, Mat. Bilt., vol. 41, no. 2, pp. 54–73, Jan. 2017, doi: 10.37560/matbil17200054v.