Breast cancer is considered to be one of the most common cancers among women in India. According to data published by Globocan in 2018, more than 1.6 lakh new cases and around 87,000 deaths were registered in the country during the year. Medical experts claim that the cancer is generally diagnosed in women when they reach their 30 and tends to spike between 50 and 64 years. Overall, one in 28 women are likely to develop the ailment during their lifetime. Various symptoms of breast cancer include a painless lump in the breast, a sudden change in shape and size of the breast, blood discharge from the nipple, and nipple retraction. While early diagnosis and self-breast examination can increase the chances of successful treatment and cure, lack of awareness and accessibility to healthcare facilities stands as a stumbling block. Most importantly, it is definitely possible to detect breast cancer early - by being alert. Most other cancers cannot be caught early. Therefore, we felt the need to create B.A.E-Breast cancer Awareness and Examine.
Link:
- https://bae-breastcancer.netlify.app/
- https://devfolio.co/submissions/bae-breast-cancer-awareness-and-examine-3349
Breast cancer is the most common cancer amongst women in the world. It accounts for 25% of all cancer cases, and affected over 2.1 Million people in 2015 alone. It starts when cells in the breast begin to grow out of control. These cells usually form tumors that can be seen via X-ray or felt as lumps in the breast area. The key challenges against it’s detection is how to classify tumors into malignant (cancerous) or benign(non cancerous). We ask you to complete the analysis of classifying these tumors using machine learning (with SVMs) and the Breast Cancer Wisconsin (Diagnostic) Dataset.
Dataset: https://www.kaggle.com/uciml/breast-cancer-wisconsin-data
- Understand the Dataset & cleanup (if required).
- Build classification models to predict whether the cancer type is Malignant or Benign.
- Also fine-tune the hyperparameters & compare the evaluation metrics of various classification algorithms.
B.A.E is a Breast Cancer Awareness website, whose main goal is to make early detection of breast cancer possible for every women, and provide them with a platform to be able to talk about it, and not loose hope in the darkest of times.
We achieve this goal by including the following features:
- A Questionnaire for women to fill out about their daily habits and health to determine the risk for Cancer
- A cancer prediction model for women to refer since, Research indicates that most experienced physicians can diagnose cancer with 79 percent accuracy while 91 percent correct diagnosis is achieved using machine learning techniques. And It is more convenient
- A Online support forum to ask questions about breast cancer anonyms and reach out to people going through the same in their life
- Educating women about, the self examination for breast cancer, to increase the chances for early detection
- A feature to listen to calming and relaxing music to release stress
- A Friendly chatbot to solve basic doubts women have about Breast cancer, Its symptoms and treatments.
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