DEVELOPMENT OF A MODEL FOR DIAGNOSIS BASED ON THE METHOD OF RANKING ALTERNATIVES ON A SET OF LINGUISTIC VECTOR ESTIMATES

2020 ◽  
pp. 127-131
Author(s):  
Екатерина Ивановна Новикова ◽  
Екатерина Валерьевна Кондаурова
Keyword(s):  
Myocardial Infarction ◽  
Decision Making ◽  
Theoretical Analysis ◽  
Mathematical Models ◽  
Input Data ◽  
Test Sample ◽  
Thyroid Diseases ◽  
Endocrine Diseases ◽  
The World ◽  
Complications Of Myocardial Infarction

В статье рассматривается один из подходов к анализу и принятию решения по постановке диагноза пациентам, имеющим заболевания щитовидной железы, основанный на многокритериальном методе - методе ранжирования альтернатив на множестве лингвистических векторных оценок. В работе приводится теоретический анализ ситуации в мире в области эндокринных заболеваний и обоснование выбора метода. Показывается преимущество применения именно метода ранжирования альтернатив на множестве лингвистических векторных оценок в области медицины. Проведен наглядный расчет случая с входными данными пациента и выведен диагноз. Таким же образом были проведены расчеты с тестовой выборкой пациентов. По результатам получены высокие прогностические способности для использования модели. Выведены математические модели, которые в последствии реализованы в информационно-программное обеспечение, повышающее эффективность процесса прогноза осложнений инфаркта миокарда. Внедрение разработанной системы позволит медицинским организациям повысить оперативность и точность предварительной диагностики пациентов The article considers one of the approaches to the analysis and decision - making on the diagnosis of patients with thyroid diseases, based on a multi-criteria method-the method of ranking alternatives on a set of linguistic vector estimates. The paper provides a theoretical analysis of the world situation in the field of endocrine diseases and justifies the choice of the method. The advantage of using the method of ranking alternatives on a set of linguistic vector estimates in the field of medicine is shown. A visual calculation of the case with the patient's input data was performed and the diagnosis was derived. In the same way, calculations were performed with a test sample of patients. Based on the results, we obtained high predictive abilities for using the model. Mathematical models are derived, which are subsequently implemented in information software that increases the efficiency of the process of predicting complications of myocardial infarction. Implementation of the developed system will allow medical organizations to increase the efficiency and accuracy of preliminary diagnostics of patients

Medical Diagnosis from a Clinician’s Point of View

1978 ◽  
Vol 17 (01) ◽  
pp. 28-35
Author(s):  
F. T. De Dombal
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Computer Science ◽  
Medical Diagnosis ◽  
Information Science ◽  
Point Of View ◽  
Joint Research ◽  
The World

This paper discusses medical diagnosis from the clinicians point of view. The aim of the paper is to identify areas where computer science and information science may be of help to the practising clinician. Collection of data, analysis, and decision-making are discussed in turn. Finally, some specific recommendations are made for further joint research on the basis of experience around the world to date.

Myocardial infarction – An important factor for surgical decision-making?

2008 ◽  
Vol 56 (S 1) ◽  
Author(s):  
B Osswald ◽  
U Tochtermann ◽  
S Keller ◽  
D Badowski-Zyla ◽  
V Gegouskov ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Decision Making ◽  
Surgical Decision ◽  
Surgical Decision Making

Paracrine Mechanisms Involved in Mesenchymal Stem Cell Differentiation into Cardiomyocytes

2019 ◽  
Vol 14 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Maryam Farzaneh ◽  
Fatemeh Rahimi ◽  
Masoumeh Alishahi ◽  
Seyed E. Khoshnam
Keyword(s):  
Myocardial Infarction ◽  
Ventricular Dysfunction ◽  
Stem Cell Differentiation ◽  
Myocardial Cells ◽  
Coronary Artery Diseases ◽  
Low Cardiac Output ◽  
Mesenchymal Stem Cell Differentiation ◽  
Proliferation And Differentiation ◽  
The World ◽  
Biochemical Analyses

Cardiovascular disease (CVD) is one of the world-wide healthcare problem that involves the heart or blood vessels. CVD includes myocardial infarction and coronary artery diseases (CAD). Dysfunctional myocardial cells are leading causes of low cardiac output or ventricular dysfunction after cardiac arrest and may contribute to the progression of CVD which could not generate new cardiomyocytes in human adult heart. The mesenchymal stem cells (MSCs) which are present in adult marrow can self-renew and have the capacity of differentiation into multiple types of cells including cardiomyocytes. Recent biochemical analyses greatly revealed that several regulators of MSCs, such as HGF, PDGF, Wnt, and Notch-1 signaling pathways have been shown to be involved in the proliferation and differentiation into cardiomyocytes. Preclinical studies are paving the way for further applications of MSCs in the repair of myocardial infarction. In this study, we discuss and summarize the paracrine mechanisms involved in MSCs differentiation into cardiomyocytes.

“Little Plants in the Country”: Henry Ford's Village Industries and the Beginning of Decentralized Technology in Modern America

Prospects ◽  
1988 ◽  
Vol 13 ◽  
pp. 181-223 ◽  
Author(s):  
Howard P. Segal
Keyword(s):  
United States ◽  
Decision Making ◽  
New York ◽  
Information Processing ◽  
Real Estate ◽  
New York Times ◽  
The United States ◽  
Physical Proximity ◽  
The World ◽  
Word Processors

“Technology Spurs Decentralization Across the Country.” So reads a 1984 New York Times article on real-estate trends in the United States. The contemporary revolution in information processing and transmittal now allows large businesses and other institutions to disperse their offices and other facilities across the country, even across the world, without loss of the policy- and decision-making abilities formerly requiring regular physical proximity. Thanks to computers, word processors, and the like, decentralization has become a fact of life in America and other highly technological societies.

An algebraic approach to N-soft sets with application in decision-making using TOPSIS

2021 ◽  
pp. 1-21
Author(s):  
Muhammad Shabir ◽  
Rimsha Mushtaq ◽  
Munazza Naz
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Real World ◽  
Algebraic Approach ◽  
Multi Criteria Decision Making ◽  
Commutative Monoids ◽  
Soft Sets ◽  
Algebraic Properties ◽  
Different Types ◽  
Selection Of

In this paper, we focus on two main objectives. Firstly, we define some binary and unary operations on N-soft sets and study their algebraic properties. In unary operations, three different types of complements are studied. We prove De Morgan’s laws concerning top complements and for bottom complements for N-soft sets where N is fixed and provide a counterexample to show that De Morgan’s laws do not hold if we take different N. Then, we study different collections of N-soft sets which become idempotent commutative monoids and consequently show, that, these monoids give rise to hemirings of N-soft sets. Some of these hemirings are turned out as lattices. Finally, we show that the collection of all N-soft sets with full parameter set E and collection of all N-soft sets with parameter subset A are Stone Algebras. The second objective is to integrate the well-known technique of TOPSIS and N-soft set-based mathematical models from the real world. We discuss a hybrid model of multi-criteria decision-making combining the TOPSIS and N-soft sets and present an algorithm with implementation on the selection of the best model of laptop.

Collective Decision-making: FIFA from the Perspective of Public Choice

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Florian Follert ◽  
Lukas Richau ◽  
Eike Emrich ◽  
Christian Pierdzioch
Keyword(s):  
Decision Making ◽  
Public Choice ◽  
Choice Theory ◽  
Collective Decision ◽  
Public Confidence ◽  
Collective Decision Making ◽  
Public Choice Theory ◽  
World Cup ◽  
The World ◽  
Selection Of

AbstractVarious scandals have shaken public confidence in football's global governing body, Fédération Internationale de Football Association (FIFA). It is evident that decision-making within such a collective provides incentives for corruption. We apply the Buchanan-Tullock model that is known from Public Choice theory to study collective decision-making within FIFA. On the basis of this theoretical model, we develop specific proposals that can contribute to combating corruption. Three core aspects are discussed: the selection of the World Cup host, transparency in the allocation of budgets, and clear guidelines for FIFA officials and bodies with regard to their rights and accountability. Our insights can contribute to a better understanding of collective decision making in heterogenous groups.

scholarly journals A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2691
Author(s):  
Sławomira Hajduk ◽  
Dorota Jelonek
Keyword(s):  
Decision Making ◽  
Smart Cities ◽  
Energy Performance ◽  
Linear Ordering ◽  
Topsis Method ◽  
Research Papers ◽  
The World ◽  
Urban Energy ◽  
World Council ◽  
Topsis Technique

This paper presents the use of multi-criteria decision-making (MCDM) for the evaluation of smart cities. During the development of the method, the importance of the decision-making approach in the linear ordering of cities was presented. The method of using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was proposed for the preparation of ranking. The method was verified by the application in the measurement of energy performance in smart cities. The authors conducted a literature review of research papers related to urban energy and MCDM published in the period from 2010 to 2020. The paper uses data from the World Council on City Data (WCCD). The research conducted allowed for the identification of the most popular MCDM techniques in the field of urban energy such as TOPSIS, AHP and DEA. The TOPSIS technique was used to organize and group the analyzed cities. Porto took the top position, whereas Buenos Aries was the last.

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