Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach-Reference-Cited by-同舟云学术

Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach

Published:2022-11-11 Issue:1 Volume:9 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Chadaga Krishnaraj¹,Prabhu Srikanth¹^ORCID,Sampathila Niranjana²,Chadaga Rajagopala³,K S Swathi⁴,Sengupta Saptarshi⁵

Affiliation:

1. Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India

2. Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India

3. Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India

4. Department of Humanities, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India

5. Department of Computer Science, San Jose State University, 1 Washington Sq, San Jose, California, 95192, USA

Funder

Manipal Academy of Higher Education, Manipal

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2022.2143040

Reference90 articles.

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2. Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques

3. What do South Asian immigrant women know about HPV, cervical cancer and its early detection: A cross-sectional Australian study

4. A Random Forest based predictor for medical data classification using feature ranking

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