Digital Pedoscopic Assessment and Data-Driven Classification of Pediatric Rearfoot Alignment: Minimal Dataset and Analysis Code
Digital Pedoscopic Assessment and Data-Driven Classification of Pediatric Rearfoot Alignment: Minimal Dataset and Analysis Code
This repository contains the de-identified minimal dataset and analysis code used in the study:"Digital Pedoscopic Assessment and Data-Driven Classification of Pediatric Rearfoot Alignment" (Children, 2025). ### Contents- Minimal RCSP dataset (fully anonymized)- Python and Jupyter Notebook scripts for preprocessing, clustering (k-means), and figure generation- Sample figures (optional) ### PurposeThis dataset is shared to enhance transparency and reproducibility in accordance with MDPI data policies and IRB requirements. ### Ethics and PrivacyAll data are fully anonymized and contain no personal identifiers. Dataset creation and sharing were approved under IRB No. KNUCH 2023-09-031. ### CitationIf you use this dataset, please cite:Min, Y.-S. (2025). Digital Pedoscopic Assessment and Data-Driven Classification of Pediatric Rearfoot Alignment. Zenodo. DOI: (to be assigned).
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!