Diagnosis of metabolic syndrome using machine learning, statistical and risk quantification techniques: a systematic literature review

Kakudi, Habeebah Adamu; Loo, Chu Kiong; Moy, Foong Ming; Kau, Lim Chee; Pasupa, Kitsuchart

doi:10.22452/mjcs.vol34no3.1

by Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy, Lim Chee Kau, Kitsuchart Pasupa

Reference:

Habeebah Adamu Kakudi, Chu Kiong Loo, Foong Ming Moy, Lim Chee Kau, Kitsuchart Pasupa, "Diagnosis of metabolic syndrome using machine learning, statistical and risk quantification techniques: a systematic literature review", In Malaysian Journal of Computer Science, Univ. of Malaya, vol. 34, no. 3, pp. 221-241, 2021. (ISI (2020): Q4 Percentile 10% JIF 0.622, Scopus (2020): Q3 Percentile 39% CiteScore 1.4)

Bibtex Entry:

@Article{KakudiLooMoyKauPasupa2021,
  author    = {Habeebah Adamu Kakudi and Chu Kiong Loo and Foong Ming Moy and Lim Chee Kau and Kitsuchart Pasupa},
  journal   = {Malaysian Journal of Computer Science},
  title     = {Diagnosis of metabolic syndrome using machine learning, statistical and risk quantification techniques: a systematic literature review},
  year      = {2021},
  issn      = {0127-9084},
  month     = jul,
  number    = {3},
  pages     = {221--241},
  volume    = {34},
  comment   = {ISI (2020): Q4 Percentile 10% JIF 0.622, Scopus (2020): Q3 Percentile 39% CiteScore 1.4},
  doi       = {10.22452/mjcs.vol34no3.1},
  publisher = {Univ. of Malaya},
}