Comparison of Classification Algorithms with Wrapper-Based Feature Selection for Predicting Osteoporosis Outcome Based on Genetic Factors in a Taiwanese Women Population
المؤلفون المشاركون
Chang, Hsueh-Wei
Ho, Wen-Hsien
Chiu, Yu-Hsien
Kao, Hao-Yun
Yang, Cheng-Hong
المصدر
International Journal of Endocrinology
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-01-14
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
An essential task in a genomic analysis of a human disease is limiting the number of strongly associated genes when studying susceptibility to the disease.
The goal of this study was to compare computational tools with and without feature selection for predicting osteoporosis outcome in Taiwanese women based on genetic factors such as single nucleotide polymorphisms (SNPs).
To elucidate relationships between osteoporosis and SNPs in this population, three classification algorithms were applied: multilayer feedforward neural network (MFNN), naive Bayes, and logistic regression.
A wrapper-based feature selection method was also used to identify a subset of major SNPs.
Experimental results showed that the MFNN model with the wrapper-based approach was the best predictive model for inferring disease susceptibility based on the complex relationship between osteoporosis and SNPs in Taiwanese women.
The findings suggest that patients and doctors can use the proposed tool to enhance decision making based on clinical factors such as SNP genotyping data.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chang, Hsueh-Wei& Chiu, Yu-Hsien& Kao, Hao-Yun& Yang, Cheng-Hong& Ho, Wen-Hsien. 2013. Comparison of Classification Algorithms with Wrapper-Based Feature Selection for Predicting Osteoporosis Outcome Based on Genetic Factors in a Taiwanese Women Population. International Journal of Endocrinology،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-503249
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chang, Hsueh-Wei…[et al.]. Comparison of Classification Algorithms with Wrapper-Based Feature Selection for Predicting Osteoporosis Outcome Based on Genetic Factors in a Taiwanese Women Population. International Journal of Endocrinology No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-503249
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chang, Hsueh-Wei& Chiu, Yu-Hsien& Kao, Hao-Yun& Yang, Cheng-Hong& Ho, Wen-Hsien. Comparison of Classification Algorithms with Wrapper-Based Feature Selection for Predicting Osteoporosis Outcome Based on Genetic Factors in a Taiwanese Women Population. International Journal of Endocrinology. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-503249
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-503249
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر