54839

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Unsupervised Classification Approach to Developing a Medical Diagnosis Based on the Results of Prepared Tests

Электронная публикация: 

Да

DOI: 

doi: 10.1109/MLSD.2019.8911016

Наименование конференции: 

  • 2019 12th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 12th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Moscow, Russia

Издательство: 

  • IEEE

Год издания: 

2019

Страницы: 

1-3 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8911016&isnumber =8910963
Аннотация
Abstract— A formal procedure is proposed for making a medical diagnosis based on the results of analyzes that satisfy the specified requirements: for each type of possible disease, a set of analizes is formed, and in each such set the analyzes are ranked by “importance” for this disease. Presentation is conducted on the example of a specific sample of Dermatology from the known repository of UCI Machine Learning. The results indicate that the proposed procedure may be a useful medical assistant in making a definitive diagnosis.

Библиографическая ссылка: 

Корноушенко Е.К. Unsupervised Classification Approach to Developing a Medical Diagnosis Based on the Results of Prepared Tests / Proceedings of the 12th International Conference "Management of Large-Scale System Development" (MLSD). Moscow, Russia: IEEE, 2019. С. 1-3 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8911016&isnumber =8910963.