Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques

CT Group Of Institutions · Hamad bin Khalifa University · +5 more institutions

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Abstract

Cervical cancer has become the third most common form of cancer in the in-universe, after the widespread breast cancer. Human papillomavirus risk of infection is linked to the majority of cancer cases. Preventive care, the most expensive way of fighting cancer, can protect about 37% of cancer cases. The Pap smear examination is a standard screening procedure for the initial screening of cervical cancer. However, this manual test procedure generates many false-positive outcomes due to individual errors. Various researchers have extensively investigated machine learning (ML) methods for classifying cervical Pap cells to enhance manual testing. The random forest method is the most popular method for anticipating…

Citation impact

246
total citations
FWCI
32.74
Percentile
100%
References
58
Citations per year

Authors

9

Topics & keywords

Keywords
  • Random forest
  • Cervical cancer
  • Computer science
  • Machine learning
  • Support vector machine
  • Feature selection
  • Decision tree
  • Artificial intelligence
UN Sustainable Development Goals
  • Life in Land
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