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

被引:0
|
作者
Yoshio Nakano
Nao Suzuki
Fumiyuki Kuwata
机构
[1] Department of Chemistry,
[2] Nihon University School of Dentistry,undefined
[3] Department of Preventive and Public Health Dentistry,undefined
[4] Fukuoka Dental College,undefined
来源
BMC Oral Health | / 18卷
关键词
Oral malodour; Deep learning; Oral micorobiota;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Predicting oral malodour based on the microbiota in saliva samples using a deep learning approach
    Nakano, Yoshio
    Suzuki, Nao
    Kuwata, Fumiyuki
    BMC ORAL HEALTH, 2018, 18
  • [2] Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples
    Nakano, Yoshio
    Takeshita, Toru
    Kamio, Noriaki
    Shiota, Susumu
    Shibata, Yukie
    Suzuki, Nao
    Yoneda, Masahiro
    Hirofuji, Takao
    Yamashita, Yoshihisa
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2014, 60 (02) : 97 - 101
  • [3] Predicting Destinations by a Deep Learning based Approach
    Xu, Jiajie
    Zhao, Jing
    Zhou, Rui
    Liu, Chengfei
    Zhao, Pengpeng
    Zhao, Lei
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 33 (02) : 651 - 666
  • [4] Oral microbiota associated with gender could drive the glycemic response in saliva samples
    Minty, M.
    Loubieres, P.
    Terce, F.
    Burcelin, R.
    Blasco-Baque, V.
    ANNALS OF NUTRITION AND METABOLISM, 2019, 75 : 24 - 25
  • [5] A Smartwatch-based Approach for Oral Health Monitoring using Deep Learning
    Casilari, Eduardo
    Gonzalez-Canete, Francisco J.
    17TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS, PETRA 2024, 2024, : 343 - 350
  • [6] A Multimodal Deep Learning Approach to Predicting Systemic Diseases from Oral Conditions
    Zhao, Dan
    Homayounfar, Morteza
    Zhen, Zhe
    Wu, Mei-Zhen
    Yu, Shuk Yin
    Yiu, Kai-Hang
    Vardhanabhuti, Varut
    Pelekos, George
    Jin, Lijian
    Koohi-Moghadam, Mohamad
    DIAGNOSTICS, 2022, 12 (12)
  • [7] Predicting Delay in IoT Using Deep Learning: A Multiparametric Approach
    Ateeq, Muhammad
    Ishmanov, Farruh
    Afzal, Muhammad Khalil
    Naeem, Muhammad
    IEEE ACCESS, 2019, 7 : 62022 - 62031
  • [8] Predicting Breast Cancer Based on Optimized Deep Learning Approach
    Saleh, Hager
    Abd-El Ghany, Sara F.
    Alyami, Hashem
    Alosaimi, Wael
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [9] Deep Learning Approach for Predicting Psychodiagnosis
    Samia, Zouaoui
    Chahinez, Khamari
    ACTA INFORMATICA PRAGENSIA, 2024, 13 (02) : 288 - 307
  • [10] Project Based Learning: Predicting Bitcoin Prices using Deep Learning
    Yogeshwaran, S.
    Kaur, Maninder Jeet
    Maheshwari, Piyush
    PROCEEDINGS OF 2019 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON), 2019, : 1449 - 1454