Using machine learning to determine age over 16 based on development of third molar and periodontal ligament of second molar
Abstract Background Having a reliable and feasible method to estimate whether an individual has reached 16 years of age would greatly benefit forensic analysis. The study of age using dental information has matured recently. In addition, machine learning (ML) is gradually being applied for dental ag...
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Format: | Book |
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BMC,
2023-09-01T00:00:00Z.
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A1234.567 |
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Copy 1 | Available |