![](/images/graphics-bg.png)
Influences of Daily Life Habits on Risk Factors of Stroke Based on Decision Tree and Correlation Matrix
المؤلفون المشاركون
Zhang, Peng
Shao, Zeguo
Xiang, Yuhong
Zhu, Yingchao
Fan, Aiqin
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-01
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Purpose.
To explore the influences of smoking, alcohol consumption, drinking tea, diet, sleep, and exercise on the risk of stroke and relationships among the factors, present corresponding knowledge-based rules, and provide a scientific basis for assessment and intervention of risk factors of stroke.
Methods.
The decision tree C4.5 algorithm was optimized and utilized to establish a model for stroke risk assessment; then, the main risk factors of stroke (including hypertension, dyslipidemia, diabetes, atrial fibrillation, body mass index (BMI), history of stroke, family history of stroke, and transient ischemic attack (TIA)) and daily habits (e.g., smoking, alcohol consumption, drinking tea, diet, sleep, and exercise) were analyzed; corresponding knowledge-based rules were finally presented.
Establish a correlation matrix of stroke risk factors and analyze the relationship between stroke risk factors.
Results.
The accuracy of the established model for stroke risk assessment was 87.53%, and the kappa coefficient was 0.8344, which was superior to that of the random forest and Logistic algorithm.
Additionally, 37 knowledge-based rules that can be used for prevention of risk factors of stroke were derived and verified.
According to in-depth analysis of risk factors of stroke, the values of smoking, exercise, sleep, drinking tea, alcohol consumption, and diet were 6.00, 7.00, 8.67, 9.33, 10.00, 10.60, and 10.75, respectively, indicating that their influence on risk factors of stroke was reduced in turn; on the one hand, smoking and exercise were strongly associated with other risk factors of stroke; on the other hand, sleep, drinking tea, alcohol consumption, and diet were not firmly associated with other risk factors of stroke, and they were relatively tightly associated with smoking and exercise.
Conclusions.
Establishment of a model for stroke risk assessment, analysis of factors influencing risk factors of stroke, analysis of relationships among those factors, and derivation of knowledge-based rules are helpful for prevention and treatment of stroke.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shao, Zeguo& Xiang, Yuhong& Zhu, Yingchao& Fan, Aiqin& Zhang, Peng. 2020. Influences of Daily Life Habits on Risk Factors of Stroke Based on Decision Tree and Correlation Matrix. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1139392
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shao, Zeguo…[et al.]. Influences of Daily Life Habits on Risk Factors of Stroke Based on Decision Tree and Correlation Matrix. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1139392
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shao, Zeguo& Xiang, Yuhong& Zhu, Yingchao& Fan, Aiqin& Zhang, Peng. Influences of Daily Life Habits on Risk Factors of Stroke Based on Decision Tree and Correlation Matrix. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1139392
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139392
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
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
![](/images/kashef-image.png)