Fuzzy sets in modeling patient’s disease states in medical diagnostics support algorithms-Reference-Cited by-同舟云学术

Fuzzy sets in modeling patient’s disease states in medical diagnostics support algorithms

Published:2023-10-30 Issue:15-16/2022 Volume:0 Page:43-49
ISSN:2450-0054
Container-title:Computer Science and Mathematical Modelling
language:
Short-container-title:

Author:

Ameljańczyk Andrzej¹^ORCID,Ameljańczyk Tomasz²^ORCID

Affiliation:

1. Wojskowa Akademia Techniczna Wydział Cybernetyki Instytut Systemów Informatycznych

2. Military Institute of Medicine

Abstract

The article presents the concept of using fuzzy sets methodology in modelling patientʼs disease states for preliminary medical diagnosis. The preliminary medical diagnosis is based on the identified disease symptoms. The basis of the algorithm are descriptions of the patientʼs disease status and patterns of disease entities. These patterns were defined as fuzzy sets. The paper presents simple classifiers that allow he a preliminary diagnosis based on the analysis of fuzzy sets for the use of the general practitioner.

Publisher

Index Copernicus

Subject

General Medicine

Reference30 articles.

1. Albin M., Fuzzy sets and their applications to medical diagnosis, University of California, Berkeley, USA, 1975.

2. Allan M., Spencer J., Crash Course – wywiad i badania przedmiotowe, Elsevier Urban & Partner, Wrocław 2005.

3. Ameljańczyk A., Optymalizacja wielokryterialna w problemach sterowania i zarządzania, Ossolineum, Wrocław 1984.

4. Ameljańczyk A., „Multicriteria similarity models in medical diagnostics support algorithms”, Bio-Algorithms and Med- -Systems, Vol. 9, No. 1, 1–7 (2013).

5. Ameljańczyk A., „Metryki Minkowskiego w tworzeniu uniwersalnych algorytmów rankingowych”, Biuletyn WAT, Vol. LXIII, Nr 2, 29–44 (2014).