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A hybrid unsupervised clustering method for predicting the risk of dental implant loss.

Chenxi XieYuzhou LiKehao LiuJiahui LiuJie ZengNannan HuangSheng Yang
Published in: Journal of dentistry (2024)
Visual prognosis prediction utilizing this nomogram that predicts the risk of implant loss on the basis of clustering features can assist dentists in preoperative assessments and clinical decision-making, potentially improving dental implant prognosis.
Keyphrases
  • soft tissue
  • decision making
  • oral health
  • single cell
  • machine learning
  • rna seq
  • patients undergoing
  • lymph node metastasis
  • squamous cell carcinoma