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C-section birth data classification using ensemble modelling techniques and their performance analysis
University of Skövde, School of Informatics.
2022 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Data mining and machine learning techniques have a wide range of applications in businesses, healthcare, organizations, and academia, to name a few. Machinelearning has been used by several academics to construct decision support systems, analyse major clinical features, extract useful information from trends in historical data, generate predictions, and classify diseases. Successful research gave doctors the ability to make the best decisions at the correct moment. We plan to use the learning potential of machine learning methods to classify birth data utilizing bagging, boosting, and stacking classification algorithms in the current work. Diversity in living styles, medical aid, religious connotations, and the place you live in all have an impact on the people who live in that culture. The current study is a complete comparison of the bagging, boosting, and stacking classification algorithms used on the government hospital's birth data. The caret library in R, which is regarded as an encompassing framework for developing machine learning models, is used for the experiments. Different evaluation measures are used to offer accuracy-based results. Boosting features with regard to, sensitivity, and specificity, the Gradient Boosting Machine (GBM) performed somewhat better.

Place, publisher, year, edition, pages
2022. , p. 37
National Category
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-21561OAI: oai:DiVA.org:his-21561DiVA, id: diva2:1680621
Subject / course
Informationsteknologi
Educational program
Data Science - Master’s Programme
Supervisors
Examiners
Available from: 2022-07-04 Created: 2022-07-04 Last updated: 2022-07-04Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf