Browsing by Author "LHR TP 6192"

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    Cancer Prediction System
    (Library Information Services, COMSATS University Islamabad, Lahore Campus., 2020-11-20) Hafiz Aasim Bashir; FA16- BCS-036; Usman Shehzaib; LHR TP 6192
    Cancer is one of the main causes of death for both males and female, most of the people got victims of cancer because of the no awareness and expenses of testes in Pakistan. A disease that is most misdiagnosed is Cancer. In our final year project, we develop a predictable system which tells the survivability against cancer to the users. In our app Anyone can just simply puts its demographic and a few tests then the system will tell the probability of cancer in the future. We use machine learning algorithms (Random Forest) that give the higher accuracy among all the models in our system and develop the web using Streamlet each work is done in python Jupiter notebook and PyCharm. So, our system will play a vital role in society and makes life easier for the people they can check the probability of cancer. Moreover, work on this project in the future makes it a valuable system for Cancer hospitals as well.