Risk Factors Discovery for Cancer Survivability Analysis Using Graph-Rule Mining
المؤلفون المشاركون
Yang, Chaoyu
Yang, Jie
Yang, Zhenyu
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-07-31
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Mining and understanding patients’ disease-development pattern is a major healthcare need.
A huge number of research studies have focused on medical resource allocation, survivability prediction, risk management of diagnosis, etc.
In this article, we are specifically interested in discovering risk factors for patients with high probability of developing cancers.
We propose a systematic and data-driven algorithm and build around the idea of association rule mining.
More precisely, the rule-mining method is firstly applied on the target dataset to unpack the underlying relationship of cancer-risk factors, via generating a set of candidate rules.
Later, this set is represented as a rule graph, where informative rules are identified and selected with the aim of enhancing the result interpretability.
Compared to hundreds of rules generated from the standard rule-mining approach, the proposed algorithm benefits from a concise rule subset, without losing the information from the original rule set.
The proposed algorithm is then evaluated using one of the largest cancer data resources.
We found that our method outperforms existing approaches in terms of identifying informative rules and requires affordable computational time.
Additionally, relevant information from the selected rules can also be used to inform health providers and authorities for cancer-risk management.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Chaoyu& Yang, Jie& Yang, Zhenyu. 2020. Risk Factors Discovery for Cancer Survivability Analysis Using Graph-Rule Mining. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1193793
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Chaoyu…[et al.]. Risk Factors Discovery for Cancer Survivability Analysis Using Graph-Rule Mining. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1193793
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Chaoyu& Yang, Jie& Yang, Zhenyu. Risk Factors Discovery for Cancer Survivability Analysis Using Graph-Rule Mining. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1193793
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1193793
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