Predicting oral malodour based on the microbiota in saliva samples using a deep learning approach.

Journal: BMC oral health
PMID: 30064419

Abstract

BACKGROUND: Oral malodour is mainly caused by volatile sulphur compounds produced by bacteria and bacterial interactions. It is difficult to predict the presence or absence of oral malodour based on the abundances of specific species and their combinations. This paper presents an effective way of deep learning approach to predicting the oral malodour from salivary microbiota.

Authors

  • Yoshio Nakano
    Department of Chemistry, Nihon University School of Dentistry, Kanda-Surugadai, Chiyoda-ku, Tokyo, 101-8310, Japan. nakano.yoshio70@nihon-u.ac.jp.
  • Nao Suzuki
    Department of Preventive and Public Health Dentistry, Fukuoka Dental College, Tamura, Sawara-ku, Fukuoka, 814-0193, Japan.
  • Fumiyuki Kuwata
    Department of Chemistry, Nihon University School of Dentistry, Kanda-Surugadai, Chiyoda-ku, Tokyo, 101-8310, Japan.

Keywords

External Resources

Popular Topics
Recent Journals