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Cancer prediction system: Cancer Vision

This project involves evaluating and designing a cancer prediction system to assist people who are health-conscious and suspect they are experiencing cancer symptoms. The main goal of this project is to assist users in predicting cancer early on before it progresses to a life-threatening level. C...

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Bibliographic Details
Main Authors: Sehrish, Kantroo, Sumbula, Tahmida Haque, Abd Rahim, Noor Hayani
Format: Book Chapter
Language:English
Published: Universiti Kuala Lumpur Publishing 2022
Subjects:
T58.5 Information technology
Online Access:http://irep.iium.edu.my/110669/1/110669_Cancer%20prediction%20system.pdf
http://irep.iium.edu.my/110669/
https://icpex.unikl.edu.my/result-e-book/
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spelling my.iium.irep.1106692024-02-02T08:46:04Z http://irep.iium.edu.my/110669/ Cancer prediction system: Cancer Vision Sehrish, Kantroo Sumbula, Tahmida Haque Abd Rahim, Noor Hayani T58.5 Information technology This project involves evaluating and designing a cancer prediction system to assist people who are health-conscious and suspect they are experiencing cancer symptoms. The main goal of this project is to assist users in predicting cancer early on before it progresses to a life-threatening level. Cancer Vision gives information about various cancer types that every user should be aware of. This system will predict cancer when users will input their symptoms and on the basis of those symptoms, the system will apply the decision tree technique i.e, it will run the results based on decisions by checking the answers of the user. Cancer Vision's results will display whether the user has a probability of getting cancer, the type of cancer, the status (positive or negative), and a test recommendation. In addition, if the user requires consultation or information on hospitals and doctors, this system can help. Visual studio code, laravel, and js node are being used to develop this system. Universiti Kuala Lumpur Publishing 2022 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/110669/1/110669_Cancer%20prediction%20system.pdf Sehrish, Kantroo and Sumbula, Tahmida Haque and Abd Rahim, Noor Hayani (2022) Cancer prediction system: Cancer Vision. In: International Final Year Project Competition & Exhibition: ICPEX 2022. Universiti Kuala Lumpur Publishing, Kuala Lumpur, Malaysia, pp. 482-486. https://icpex.unikl.edu.my/result-e-book/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T58.5 Information technology
spellingShingle T58.5 Information technology
Sehrish, Kantroo
Sumbula, Tahmida Haque
Abd Rahim, Noor Hayani
Cancer prediction system: Cancer Vision
description This project involves evaluating and designing a cancer prediction system to assist people who are health-conscious and suspect they are experiencing cancer symptoms. The main goal of this project is to assist users in predicting cancer early on before it progresses to a life-threatening level. Cancer Vision gives information about various cancer types that every user should be aware of. This system will predict cancer when users will input their symptoms and on the basis of those symptoms, the system will apply the decision tree technique i.e, it will run the results based on decisions by checking the answers of the user. Cancer Vision's results will display whether the user has a probability of getting cancer, the type of cancer, the status (positive or negative), and a test recommendation. In addition, if the user requires consultation or information on hospitals and doctors, this system can help. Visual studio code, laravel, and js node are being used to develop this system.
format Book Chapter
author Sehrish, Kantroo
Sumbula, Tahmida Haque
Abd Rahim, Noor Hayani
author_facet Sehrish, Kantroo
Sumbula, Tahmida Haque
Abd Rahim, Noor Hayani
author_sort Sehrish, Kantroo
title Cancer prediction system: Cancer Vision
title_short Cancer prediction system: Cancer Vision
title_full Cancer prediction system: Cancer Vision
title_fullStr Cancer prediction system: Cancer Vision
title_full_unstemmed Cancer prediction system: Cancer Vision
title_sort cancer prediction system: cancer vision
publisher Universiti Kuala Lumpur Publishing
publishDate 2022
url http://irep.iium.edu.my/110669/1/110669_Cancer%20prediction%20system.pdf
http://irep.iium.edu.my/110669/
https://icpex.unikl.edu.my/result-e-book/
_version_ 1789940164412309504
score 13.211869

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