Published Paper Details:

Medical consultation and prediction has become an interactive decision-making process for patients. E-healthcare and telemedicine are now widely accepted as a method for remote consultation between patient and doctor. This paper proposes an android mobile health application model for breast cancer diagnosis and daily heath prediction with the help of which we can improve the quality of treatment for patients. Breast cancer is one of the primary reasons for the death of women in recent times, being the second most common cause of cancer deaths of women worldwide. A lot of research has been done on early detection of breast cancer so as to allow starting of treatment early to increase the chance of survival. Breast Cancer Diagnosis is distinguishing benign from malignant breast lumps. Machine Learning Techniques are used as an approach for diagnosis of this disease. The user interface will be implemented using android/java programming, and the disease diagnosis part is designed with the help of symptoms-disease data and ML prediction techniques.