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In-vitro diagnosis of single and poly microbial species targeted for diabetic foot infection using e-nose technology.

Nurlisa YusufAmmar ZakariaMohammad OmarAli Yeon Md ShakaffMaz Jamilah MasnanLatifah KamarudinNorasmadi Abdul RahimNur Zawatil Isqi ZakariaAzian AbdullahAmizah OthmanMohd Yasin
Published in: BMC Bioinform. (2015)
Keyphrases
  • data processing
  • rapid development
  • cost effective
  • key technologies
  • sequence data
  • data mining
  • case study
  • image sequences
  • fault diagnosis
  • diabetic patients