Authors :
Meeta Joshi; Dr. Shweta Pandey
Volume/Issue :
Volume 9 - 2024, Issue 3 - March
Google Scholar :
https://tinyurl.com/32uep7vu
Scribd :
https://tinyurl.com/35sd7mtx
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAR1974
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The number of deaths from breast cancer is
rising rapidly year by year. The most common kind of
cancer named as breast cancer is an overall and the
leading cause for women death rate all over India. A
cancer patient can go for a long and healthy life by early
detection and proper treatment of cancer. In India, where
advanced stages of the disease at diagnosis, combined with
rising incidence and death rates, make breast cancer the
most frequent cancer among women now a days. It is
demand of time to spread a better cancer literacy
awareness among women of India.
Therefore, we did secondary data collection using
literature review in order to know patient survival
parameters and treatment strategies, with high degree of
accuracy in breast cancer detection . Online and offline
structured questioners has been used to collect primary
data from various participants.
This research paper also used a large dataset of
breast cancer patients from the UCI Machine Learning
Repository. Our paper examined that there is a very low
cancer literacy about breast cancer risk factors in India ,
irrespective of socio-economic and educational
background of participant women . There is an urgent
need for offline and online awareness programmes to
improve cancer literacy in Indian Women .
Keywords :
UCI , IARC , Breast Cancer , KNN , SVM , MMH.
The number of deaths from breast cancer is
rising rapidly year by year. The most common kind of
cancer named as breast cancer is an overall and the
leading cause for women death rate all over India. A
cancer patient can go for a long and healthy life by early
detection and proper treatment of cancer. In India, where
advanced stages of the disease at diagnosis, combined with
rising incidence and death rates, make breast cancer the
most frequent cancer among women now a days. It is
demand of time to spread a better cancer literacy
awareness among women of India.
Therefore, we did secondary data collection using
literature review in order to know patient survival
parameters and treatment strategies, with high degree of
accuracy in breast cancer detection . Online and offline
structured questioners has been used to collect primary
data from various participants.
This research paper also used a large dataset of
breast cancer patients from the UCI Machine Learning
Repository. Our paper examined that there is a very low
cancer literacy about breast cancer risk factors in India ,
irrespective of socio-economic and educational
background of participant women . There is an urgent
need for offline and online awareness programmes to
improve cancer literacy in Indian Women .
Keywords :
UCI , IARC , Breast Cancer , KNN , SVM , MMH.
