Cogent Engineering
Volume 9, 2022 - Issue 1
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BIOMEDICAL ENGINEERING
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach
Krishnaraj Chadaga1 Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, IndiaView further author information
, Srikanth Prabhu1 Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, IndiaCorrespondence[email protected]
https://orcid.org/0000-0002-3826-1084View further author information
Niranjana Sampathila2 Department of Biomedical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, IndiaCorrespondence[email protected]
View further author information
, View further author information
Rajagopala Chadaga3 Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, IndiaView further author information
, Swathi K S4 Department of Humanities, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, IndiaView further author information
& Saptarshi Sengupta5 Department of Computer Science, San Jose State University, 1 Washington Sq, San Jose, California, 95192, USAView further author information
Article: 2143040
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Received 14 Aug 2022, Accepted 29 Oct 2022, Published online: 11 Nov 2022
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