Breast Cancer Disease Prediction With Recurrent Neural Networks (RNN)
سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 243
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شناسه ملی سند علمی:
JR_IJIEPR-31-3_005
تاریخ نمایه سازی: 10 اسفند 1399
چکیده مقاله:
Cancer is a consortium of diseases which comprises abnormal increase in cells growth by having potential to occupy and attack the entire body. According to study breast cancer is the most likely occurs in the women and which became the second biggest cause of women death. Due to its wide spread and importance some of the researchers work on this, but still there is a need to improvement. During this work in order to partially fulfill this proposed technique of deep learning along with RNN in predicting breast cancer disease which will help the doctor while diagnosis the patient. To assess the efficiency of the proposed method we used breast cancer data belong to UC Irvine repository. Precision, recall, accuracy and f1 score of proposed method shows good scores and proposed technique performs well Consortium
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نویسندگان
sangapu venkata appaji
۱Department of CSE, KKR & KSR Institute of Technology and Sciences, Guntur, A.P, INDIA
R Shiva Shankar
۲. Department of CSE, S.R.K.R Engineering College, Bhimavaram, W.G. District, A.P. India
K.V.S. Murthy
۲. Department of CSE, S.R.K.R Engineering College, Bhimavaram, W.G. District, A.P. India
Chinta Someswara Rao
۲. Department of CSE, S.R.K.R Engineering College, Bhimavaram, W.G. District, A.P. India