Cancer Prediction System

dc.contributor.authorHafiz Aasim Bashir
dc.contributor.authorFA16- BCS-036
dc.contributor.authorUsman Shehzaib
dc.contributor.authorLHR TP 6192
dc.date.accessioned2026-02-13T12:10:27Z
dc.date.issued2020-11-20
dc.description.abstractCancer 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.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/1577
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus.
dc.relation.ispartofseriesLHR TP 6154
dc.subjectLHR TP 6192
dc.subjectTECHNOLOGY::Information technology::Computer science
dc.subjectFA16
dc.subjectCancer Prediction System
dc.titleCancer Prediction System
dc.typeThesis

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
6192.pdf
Size:
1.02 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
319 B
Format:
Item-specific license agreed to upon submission
Description: