https://github.com/avivace/cervical-cancer

Exploratory study on Cervical Cancer: verifying known causal relations and assessing risk factors from women medical history datasets.
https://github.com/avivace/cervical-cancer

cancer cancer-research causal-relations cervical-cancer cervical-screening cervix kaggle-dataset

Last synced: 20 days ago
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Exploratory study on Cervical Cancer: verifying known causal relations and assessing risk factors from women medical history datasets.

• Host: GitHub
• URL: https://github.com/avivace/cervical-cancer
• Owner: avivace
• License: gpl-3.0
• Created: 2020-06-14T13:43:11.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-09-26T13:38:54.000Z (about 5 years ago)
• Last Synced: 2025-04-02T16:30:43.034Z (7 months ago)
• Topics: cancer, cancer-research, causal-relations, cervical-cancer, cervical-screening, cervix, kaggle-dataset
• Language: TeX
• Homepage: https://github.com/avivace/cervical-cancer/blob/master/report.pdf
• Size: 1.26 MB
• Stars: 2
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Cervical Cancer exploratory study

Final project for the *Data and Text Mining* course, from my [master in Computer Science](https://github.com/avivace/compsci). [KNIME workflow](https://github.com/avivace/cervical-cancer/blob/master/cervix.knwf), [Report PDF](https://github.com/avivace/cervical-cancer/blob/master/report.pdf).

Cervical Cancer is one of the most treatable

cancers when diagnosed at early stages. Yet, **it killed

311000 women in 2018 and it’s still the fourth cause of

death from cancers in women**, the second most common

in developing areas, mainly because of the economic cost

and the difficulties in implementing effectives screening

programmes. Data Mining provides robust tools to verify

the known causal relations and assess risk factors from

medical datasets. **Classification models and clustering can then exploit

this scenario to help identifying groups of population at

higer risk to improve planning of screening programmes.**

![](https://github.com/avivace/cervical-cancer/raw/master/report/figures/scatter.png)

This year in the US, there will be an estimated

13800 new cases of Cervical cancer. 4290 will be

deadly. Worldwide, this type of cancer causes

makes up 8% of the total cancer cases and deaths.

It’s the fourth (second in developing countries)

cause of death from cancer in women. A lot of

progress has been made, and nowadays it is one of

the most curable: when diagnosed and treated at the

earliest stages, the five-year survival rate can reach

95%.

In this work, we investigate the possibility of

classifying high-risk patients from demographic and

other medical data, but excluding the results of the other

related exams.

**Known causal relations**: HPV causal relation

with the cervical cancer has been documented be-

yond reasonable doubt. Additionally, the *Human

papilloma virus* infection is necessary for the development 

of *CIN*, the abnormal growth of cells

on the surface of the cervix, indicating a potentially

precancerous transformation of cells of the cervix.

Risk factors include smoking, early age at the

first sexual intercourse and early pregnancies.