scholarly journals A Decision Support System for Subject Area Selection for Students Transiting from Junior Secondary School to Senior Secondary School

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Grace Osaretin Aziken ◽  
Evelyn Ochuwa Emovon ◽  
Ikuobase Emovon
Keyword(s):  
Decision Support ◽  
Secondary School ◽  
Decision Support System ◽  
Support System ◽  
Subject Area ◽  
Senior Secondary School ◽  
Junior Secondary School ◽  
Junior Secondary ◽  
Selection For ◽  
Senior Secondary

FORMALIZATION OF THE PROBLEM OF MATHEMATICAL INTERPRETATION RECOGNITION OF MEDICAL IMAGES FOR EXAMPLE ALOPECIA

2021 ◽  
pp. 126-129
Author(s):  
Ахмед Магомедович Денгаев
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Image Recognition ◽  
Support System ◽  
Medical Knowledge ◽  
Recognition System ◽  
Subject Area ◽  
Main Task ◽  
Medical Image Recognition ◽  
Mathematical Interpretation

Одним из перспективных и эффективных направлений автоматизированной диагностики заболевания является использование системы распознавания медицинских образов. Главная задача - это максимально точная интерпретация изображения. Прежде всего, необходимо правильно формализовать задачу, провести структуризацию основных условий функционирования системы. В статье составлено содержательное описание предметной области, разработано формализованная схема исследуемой системы. Обозначено, что решение задачи структуризации сводится к разработке отдельных классов, сгруппированных по общим признакам и характеристикам болезни. В этом случае точность и информативность диагноза будет зависеть от полноты базы данных конкретного класса. Приведена математическая интерпретация отношений и связей элементов системы. Применение математических моделей и алгоритмов в медицине является важной задачей. Выбор того или иного алгоритма определяется решаемой задачей. Необходимо понимать, что получаемый результат особо ценен, если он подтверждается математическими расчетами. Предложена многоуровневая архитектура системы поддержки принятия решений, где ключевое место отведено модулю автоматизированной диагностики и распознавания изображения. Отмечено, что при создании системы поддержки принятия решения в медицине специалисты сталкиваются с двумя концептуальными барьерами: первый - связан с колоссальным объемом медицинских знаний, а второй - с постоянным обновлением этих знаний и технологий их обработки. Поэтому главной задачей является правильная структуризация и формализация системы поддержки принятия решений для его эффективного применения One of the most promising and effective areas of automated diagnosis of the disease is the use of a medical image recognition system. The main task is to interpret the image as accurately as possible. First of all, it is necessary to properly formalize the task, to structure the basic conditions for the functioning of the system. The article contains a meaningful description of the subject area, and a formalized scheme of the system under study is developed. It is indicated that the solution to the problem of structuring is reduced to the development of separate classes grouped by common signs and characteristics of the disease. In this case, the accuracy and informativeness of the diagnosis will depend on the completeness of the database of a particular class. The mathematical interpretation of the relations and connections of the system elements is given. The application of mathematical models and algorithms in medicine is an important task. The choice of an algorithm is determined by the problem being solved. It is necessary to understand that the result obtained is particularly valuable if it is confirmed by mathematical calculations. A multi-level architecture of the decision support system is proposed, where the key place is given to the module of automated diagnostics and image recognition. It is noted that when creating a decision support system in medicine, specialists face two conceptual barriers: the first one is associated with a huge amount of medical knowledge, and the second one is associated with the constant updating of this knowledge and technologies for their processing. Therefore, the main task is to properly structure and formalize the decision support system for its effective application

scholarly journals La Validez Predictora del Examen para el Certificado de Secundaria en el Estado de Osun (Nigeria)

2017 ◽  
Vol 3 (7) ◽  
Author(s):  
B.A. Faleye ◽  
E.R.I. Afolabi
Keyword(s):  
Secondary Education ◽  
Secondary School ◽  
Senior Secondary School ◽  
School Certificate ◽  
Junior Secondary ◽  
National Examinations ◽  
Certificate Examination ◽  
Senior Secondary

Introducción: El Junior Secondary Certificate Examination (JSCE, examen estandarizado) es un examen acumulativo que hacen los candidatos al final (tercer curso) del primer ciclo de educación secundaria (Junior Secondary Education) en Nígeria El examen tiene dos versiones: (a) la que realizan las delegaciones de educación de los estados (State Ministries of Education, MOE), y (b) la versión Federal que realiza el Consejo Nacional de Exámenes (National Examinations Council, NECO). Había preocupación creciente entre los implicados sobre la validez predictora de la versión estatal de la JSCE con respecto al Senior Secondary Certificate Examination (SSCE, examen paralelo administrado al final del segundo y último ciclo de educación secundaria). Se realizó este estudio para averiguar si hay relación significativa entre el rendimiento global de los estudiantes en el JSCE y su rendimiento en el Senior School Certificate Examination (SSCE).Método: Los institutos del estado de Osun (de Nigeria) constituyeron la muestra para este estudio. A través de procedimientos de análisis correlacional, se compararon las puntuaciones de los estudiantes en sus exámenes finales del primer curso del segundo ciclo (Senior Secondary School, SSS 1), del segundo curso (SSS 2), y sus puntuaciones en el SSCE en seis asignaturas principales con sus puntuaciones correspondientes del JSCE.Resultados: Se demostró que el JSCE del estado de Osun no predice el rendimiento de los estudiantes en el SSCE. Sin embargo, se encontró que la Lengua y las Matemáticas del JSCE tenían mayor capacidad para predecir el rendimiento en Lengua y Matemáticas del SSCE, en contraste con las demás asignaturas (r =0.32, p<0.05 y r =0.22 p<0.05 respectivamente).Conclusión: Rendimiento global en el JSCE para las seis asignaturas investigadas es mal predictor del rendimiento en el SSCE (con la excepción de Lengua y Matemáticas). Esta tendencia puede deberse a las limitaciones a las que se enfrentan las delegaciones (MOE) que desempeñan el papel de un organismo de exámenes.

scholarly journals Decision support system for individual athlete’s diet based on optimization modeling’ development

2020 ◽  
Vol 215 ◽  
pp. 01008
Author(s):  
Igor Kotciuba ◽  
Evgenii Ermakov ◽  
Alexey Shikov
Keyword(s):  
Mathematical Model ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Automatic Generation ◽  
Subject Area ◽  
Calorie Intake ◽  
Sports Activity ◽  
Food Components ◽  
Optimization Formulation

The article discusses the main areas of information technology tools application in the training of athletes, analyzes the types of expert systems that can be applied for this subject area, indicating the features of their use, including the tasks of supporting the plans preparation for individual diets of athletes. The formulated mathematical model is considered as a decision-making model in an optimization formulation for seeking the optimal ratio of food components from the space of admissible decisions of the various food products ratio. The recommendations regarding the daily needs of athletes in the necessary vital components for various sports activity categories, considering the norms of daily calorie intake in accordance with the Mifflin-San Geor formula, indicating the maximum norms of proteins, fats, carbohydrates, are analyzed. A mathematical model is presented in an optimization formulation from the class of discrete programming, on which the developed intelligent decision support system is based. The implementation components of the software system in the pseudocode format and examples of the implementation of the model for the formation of individual diet plans in the optimization setting are presented. The developed software package can be used for automatic generation of basic recommendations for the proposal of individual diets as an auxiliary means of supporting the activities of a dietitian to find the optimal plan in terms of maximizing individual preferences for food in the area of permissible values for the restrictions on the type of sports activities and the maximum norms of food components.

scholarly journals Decision support system in the sphere of vacancy selection for graduates of technical universities

2018 ◽  
Vol 145 ◽  
pp. 337-341 ◽  
Author(s):  
Elena Matrosova ◽  
Denis Naumov ◽  
Anna Tikhomirova
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection For

The Core Competence Construction of Primary and Middle School Sports Skills Based on Decision Support System

2021 ◽  
Vol 7 (5) ◽  
pp. 4656-4664
Author(s):  
Xiangquan Wang ◽  
Yong Jiang ◽  
Xiaofeng Wang
Keyword(s):  
Decision Support ◽  
Secondary School ◽  
Decision Support System ◽  
Support System ◽  
School Students ◽  
School Sports ◽  
Sports Skills ◽  
Skills Learning ◽  
Core Literacy ◽  
Primary And Secondary School

Objectives: With the continuous development of sports, the current learning of motor skills in primary and secondary school students has become universal, so the research on the core literacy learning evaluation of primary and secondary school sports skills based on decision support system is established. Methods: According to the computer aided skills learning in sports, the model is established. Results: By adding the decision support system to the virtual reality motion model, the problems existing in the skills learning of primary and secondary school students are further studied, thus providing a better learning method. Conclusion: In the test for computing decision support technology, the test time and accuracy test for the model shows that proficient mastery of motor skills has a prominent role in improving core literacy.

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