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ISSN 2063-5346
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BREAST CANCER DETECTION USINGLOGISTIC REGRESSION

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Ch. Srividya1*, M. Madhubala2 , Ushakela Neelaveni3 , Abhinav Reddy Kommareddy4 , Dheeraj Davuluri5
» doi: 10.48047/ecb/2023.12.si5a.0214

Abstract

Best Unregulated chest cell proliferation directly causes cancer. Both women and occasionally people experience it. It is the second most convincing justification for deaths caused by unfavorable development in women worldwide. A woman is likely to die from a harmful chest development 1 out of every 38 times (or 2.6% of the time). Since 2007, the passing rates from chest-threatening development in women over 50 who are still active have been stable, but they have begun to decline in women who are more prepared. Between 2013 and 2017, the mortality rate constantly declined by 1.3 percent. Either the lobules or the chest courses are filled with cells that are in danger of developing. Organs that produce milk are known as lobules, and lines are the routes that transport the milk from the organs to the areola. In this article, we provided a strategy for controlling the assurance of a chest hazardin light of a number of data points that illustrate a few sick cell features. This technique makes use of the AI model known as Logistic Regression. This model is quantifiable and superior accuracy, according to preliminary discoveries.

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