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An Investigation into Cervical cancer using ensemble learning approach

Raina, Rishab (2017) An Investigation into Cervical cancer using ensemble learning approach. Masters thesis, Dublin, National College of Ireland.

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Cervical cancer is one of the most daunting disease after breast cancer knownto the medical world, it can be fatal if it is not detected at early stages and can lead to death. Diagnosing cervical cancer can be done using pap smear tests which has to be done on a weekly basis making it a tiring process for some and due to the technological limitations in some developing nation the disease can go undetectable which leads to more deaths. This paper studies the different attributes which can cause cervical cancer. This is done by studying patients medical history without using the data for pap smear tests as the aim here was to use ensemble learning as an aid to detect the cause of cervical cancer. In this paper, five different machine learning techniques are used, and an ensemble model is presented and evaluated.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > Life sciences > Medical sciences > Pathology > Tumors > Cancer
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 28 Aug 2018 12:18
Last Modified: 28 Aug 2018 12:18

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