Trends of machine learning for dental caries research in Southeast Asia: insights from a bibliometric analysis.

Journal: F1000Research
PMID:

Abstract

BACKGROUND: Dental caries is a common chronic oral disease, posing a serious public health issue. By analyzing large datasets, machine learning shows potential in addressing this problem. This study employs bibliometric analysis to explore emerging topics, collaborations, key authors, and research trends in Southeast Asia related to the application of machine learning in dental caries management.

Authors

  • Faizul Hasan
    Faculty of Nursing, Chulalongkorn University, Bangkok, Bangkok, 10330, Thailand.
  • Hendrik Setia Budi
    Department of Oral Biology, Dental Pharmacology, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, East Java, 60132, Indonesia.
  • Lia Taurussia Yuliana
    Faculty of Nursing, Chulalongkorn University, Bangkok, Bangkok, 10330, Thailand.
  • Mokh Sujarwadi
    Faculty of Nursing, Universitas Jember, Jember, East Java, 68121, Indonesia.