Different Approaches of Data and Attribute Selection on Headache Disorder
| العنوان: | Different Approaches of Data and Attribute Selection on Headache Disorder |
|---|---|
| المؤلفون: | Dragan Simić, Zorana Bankovic, Svetlana Simić, Svetislav D. Simić |
| المصدر: | Intelligent Data Engineering and Automated Learning – IDEAL 2018 ISBN: 9783030034955 IDEAL (2) |
| بيانات النشر: | Springer International Publishing, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Decision support system, education.field_of_study, Computer science, Population, 0202 electrical engineering, electronic engineering, information engineering, 020206 networking & telecommunications, 020201 artificial intelligence & image processing, Feature selection, 02 engineering and technology, education, Diagnostic tools, Data science, Data selection |
| الوصف: | Half of the general population experiences a headache during any given year. Medical data and information in turn provide knowledge on which physicians base their decisions and actions but, in general, it is not easy to manage them. It becomes increasingly necessary to extract useful knowledge and make scientific decisions for diagnosis and treatment of this disease from the database. This paper presents comparison of data and attribute selected features by automatic machine learning methods and algorithms, and by diagnostic tools and expert physicians, almost all from the last decade. |
| ردمك: | 978-3-030-03495-5 |
| DOI: | 10.1007/978-3-030-03496-2_27 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::7a49c87b74a95a429a8d515f77ed2b5e https://doi.org/10.1007/978-3-030-03496-2_27 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........7a49c87b74a95a429a8d515f77ed2b5e |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030034955 |
|---|---|
| DOI: | 10.1007/978-3-030-03496-2_27 |