Orthodontic Dataset: De-Identified Clinical Records and Treatment Plans

De-identified orthodontic medical records contain standardized clinical information and treatment plans. The dataset is suitable for research in orthodontic diagnosis, treatment outcome analysis, and related machine learning or statistical modeling. All patient records are anonymized to protect privacy.

Use Cases

• Predicting treatment outcomes based on standardized clinical information
• Developing diagnostic models for orthodontic conditions
• Analyzing patterns in anonymized treatment plans
• Training machine learning models on structured clinical healthcare data

Strengths

• Dataset is de-identified and anonymized for patient privacy compliance
• Released under a permissive CC-BY-4.0 license for reuse
• Cross-platform presence on figshare suggests established sharing

Limitations

• Column names and exact row count are not specified, limiting reproducibility
• Temporal coverage and geographic origin of the medical records are unknown
• Dataset size is given but its composition (e.g., number of files) is unclear

Provenance

Source

文辉 韩

Collection Method

Likely collected from clinical orthodontic practice, method unspecified.

Freshness

Last updated on 2026-03-20