Journal Article 2022

Analysis of the performance of feature optimization techniques for the diagnosis of machine learning-based chronic kidney disease

Muhammad Minoar Hossain, Reshma Ahmed Swarna, Rafid Mostafiz, Pabon Shaha, Lubna Yasmin Pinky, Mohammad Motiur Rahman, Wahidur Rahman, Md. Selim Hossain, Md. Elias Hossain, Md. Sadiq Iqbal

Machine Learning with Applications, vol. 9, Art. no. 100330

Open DOI
Type
Journal Article
Year
2022
Venue
Machine Learning with Applications
Volume
9
Article no.
100330
Publisher
Elsevier

Overview

Journal Article published in Machine Learning with Applications (2022) · 10 authors

Research areas

Matched from the title, keywords and assigned research area.

Abstract

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Authors

  1. Muhammad Minoar Hossain
  2. Reshma Ahmed Swarna
  3. Rafid Mostafiz
  4. Pabon Shaha
  5. Lubna Yasmin Pinky
  6. Mohammad Motiur Rahman
  7. Wahidur Rahman Portfolio Author
  8. Md. Selim Hossain
  9. Md. Elias Hossain
  10. Md. Sadiq Iqbal

Keywords

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Citation

IEEE

M. M. Hossain et al., "Analysis of the performance of feature optimization techniques for the diagnosis of machine learning-based chronic kidney disease," Machine Learning with Applications, vol. 9, Art. no. 100330, 2022, doi: 10.1016/j.mlwa.2022.100330.

BibTeX

@article{article6,
  author    = {Hossain, Muhammad Minoar and Swarna, Reshma Ahmed and Mostafiz, Rafid and Shaha, Pabon and Pinky, Lubna Yasmin and Rahman, Mohammad Motiur and Rahman, Wahidur and Hossain, Md. Selim and Hossain, Md. Elias and Iqbal, Md. Sadiq},
  title     = {Analysis of the performance of feature optimization techniques for the diagnosis of machine learning-based chronic kidney disease},
  journal   = {Machine Learning with Applications},
  volume    = {9},
  pages     = {100330},
  year      = {2022},
  publisher = {Elsevier},
  doi       = {10.1016/j.mlwa.2022.100330}
}