Identification method for dental alloy type using a cosine similarity program: A preliminary investigation.
Cosine similarity
Cosine vector
Dental alloy
Micro-trace analysis
Python program
Journal
Dental materials journal
ISSN: 1881-1361
Titre abrégé: Dent Mater J
Pays: Japan
ID NLM: 8309299
Informations de publication
Date de publication:
29 Sep 2023
29 Sep 2023
Historique:
pubmed:
10
8
2023
medline:
10
8
2023
entrez:
9
8
2023
Statut:
ppublish
Résumé
Although dental evidence is frequently used for the identification of unidentified persons, information about the many types of alloys used in prosthetics is not utilized. If the type of alloy can be identified from a small amount of material, the scope of the search could be narrowed. In this experiment, a method was investigated for identifying the alloy type using 3 kinds of cutting points (a white point and 2 types of silicone points). Wavelength-dispersive X-ray spectroscopy (WDS) was used for elemental analysis. The elements were translated into multidimensional vectors, and the cosine similarity was calculated to compare vectors of the WDS results and vectors of the official data of alloys. According to the results, cosine similarity showed a concordance of more than 0.8. The developed program is expected to be useful as a method for identifying alloy types using only a small amount of grinding dust.
Identifiants
pubmed: 37558424
doi: 10.4012/dmj.2023-068
doi:
Types de publication
Journal Article
Langues
eng