![](/images/graphics-bg.png)
Prediction of Early Recurrence of Liver Cancer by a Novel Discrete Bayes Decision Rule for Personalized Medicine
المؤلفون المشاركون
Hamamoto, Yoshihiko
Ogihara, Hiroyuki
Iizuka, Norio
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-09
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
We discuss a novel diagnostic method for predicting the early recurrence of liver cancer with high accuracy for personalized medicine.
The difficulty with cancer treatment is that even if the types of cancer are the same, the cancers vary depending on the patient.
Thus, remarkable attention has been paid to personalized medicine.
Unfortunately, although the Tokyo Score, the Modified JIS, and the TNM classification have been proposed as liver scoring systems, none of these scoring systems have met the needs of clinical practice.
In this paper, we convert continuous and discrete data to categorical data and keep the natively categorical data as is.
Then, we propose a discrete Bayes decision rule that can deal with the categorical data.
This may lead to its use with various types of laboratory data.
Experimental results show that the proposed method produced a sensitivity of 0.86 and a specificity of 0.49 for the test samples.
This suggests that our method may be superior to the well-known Tokyo Score, the Modified JIS, and the TNM classification in terms of sensitivity.
Additional comparative study shows that if the numbers of test samples in two classes are the same, this method works well in terms of the F1 measure compared to the existing scoring methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ogihara, Hiroyuki& Iizuka, Norio& Hamamoto, Yoshihiko. 2016. Prediction of Early Recurrence of Liver Cancer by a Novel Discrete Bayes Decision Rule for Personalized Medicine. BioMed Research International،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099088
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ogihara, Hiroyuki…[et al.]. Prediction of Early Recurrence of Liver Cancer by a Novel Discrete Bayes Decision Rule for Personalized Medicine. BioMed Research International No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1099088
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ogihara, Hiroyuki& Iizuka, Norio& Hamamoto, Yoshihiko. Prediction of Early Recurrence of Liver Cancer by a Novel Discrete Bayes Decision Rule for Personalized Medicine. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099088
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099088
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)