Breast cancer is the most common form of cancer in women, accounting for 14% of all cancers in Indian women. About 90% of breast cancer patients live for at least 5 years after the cancer is diagnosed. When the breast cancer is detected early, the chance of survival is much higher. So, we are developing a tool for Calculating the Risk of Attaining Breast Cancer. The tool is supposedly going to help women understand their Risk of Attaining Breast Cancer and leading to understanding the special need of care.
HTML, CSS, Python, Flask, D3.js, Excel, Java & Kotlin
The idea is to estimate the chance of developing Breast Cancer. Providing advanced Data Insights. This helps women to understand the need for care. This comes with supposed Informatic Applications as a presentation for Mobile Phone's and Windows & MacOS Operating Systems in order for helping out in understanding the need for prior care. We used data from BRCA. After data wrangling and applied Machine Learning steps, a arbitrary forest model was trained as a classifier. The precision and recall were used for fine tuning and performance evaluation. We set our goals beyond this working on several daily life changes for Breast Cancer Potential Women. We will be working on highly prolific data image queries along the way. I know it's a time talking process but I am sure we will do it. If not now then tomorrow & if not tomorrow a day later & if not then maybe someday but the day will come when we will reach an absolute creation of a tool. Which won't just help in trying to understand the virus's or calculating the chances of attaining but also, help the doctors in advanced data imaging and human analysis. We have a dream a dream where we want to see nobody will die of carcinoma.
What things you need to install the software and how to install them
pip install virtualenv
pip install Flask
pip install joblib
pip install sklearn
pip install numpy
python app.pyhttps://www.cancer.org/content/dam/CRC/PDF/Public/8577.00.pdf