Orofacial Myofunctional Therapy Survivor Dataset

Description:

This dataset supports the study "Artificial Intelligence-Enhanced Telemedicine for Orofacial Myofunctional Therapy in Sleep Apnea: Adult Patient Outcomes". It includes anonymized clinical and treatment response data from 87 adult patients who underwent AI-assisted Orofacial Myofunctional Therapy (OMT) using the Smart Therapy Manager® system, aimed at treating Obstructive Sleep Apnea (OSA) and Primary Snoring (PS).

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Table of Contents

• Overview
• Dataset Structure
• Usage
• FAIR Compliance
• Citation
• Acknowledgments
• Contact

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Overview

• Study Type: Retrospective Observational Cohort
• Period: November 2021 – November 2022
• Location: NEUMOMED Clinic, Medellín, Colombia
• Sample Size: 87 patients
• Format: CSV (FAIR-structured and anonymized)
• Target Use: Clinical research, machine learning, sleep medicine, treatment outcome analysis.

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Dataset Structure

• data/: Original dataset as collected.
• metadata/: Metadata including variable descriptions and data dictionary.
• documentation/: Methodology, ethical approval, and contextual information.
• fair/: FAIRness checklist and metadata standards.

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Usage

These instructions provide guidance on using the Orofacial Myofunctional Therapy Survivor Dataset. Please follow ethical standards when handling clinical data.

In Python (using Pandas):

import pandas as pd
data = pd.read_csv('data/data_es.csv')

In R:

data <- read.csv("data/data_es.csv")

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✅ FAIR Compliance

This dataset follows the FAIR Data Principles:

• Findable: DOI assigned and metadata indexed in open repositories
• Accessible: Openly licensed under CC-BY 4.0 with no access restrictions
• Interoperable: Provided in standard formats with machine-readable metadata
• Reusable: Includes clear licensing, documentation, and citation guidelines

➡️ See fair/ for a complete FAIR compliance breakdown.

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Citation

Please cite both the dataset and the corresponding paper:

@article{RiveraCapacho2025,
  title     = {Artificial Intelligence-Enhanced Telemedicine for Orofacial Myofunctional Therapy in Sleep Apnea: Adult Patient Outcomes},
  author    = {Rivera Capacho, Eliana Elizabeth and Diaz Bossa, Claudia Patricia and Campos, María del Carmen and Rincon-Yanez, Diego and Rangel-Navia, Heriberto and Bianchini, Esther Mandelbaum Gonçalves},
  journal   = {Submited to Respiratory Medicine},
  year      = {2025},
  note      = {Preprint submitted on January 19, 2025}
}

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Acknowledgments

• NEUMOMED Sleep and Pulmonology Clinic
• University of Pamplona
• All contributing authors and patients who consented to data usage

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Contact

If there are any troubles or you have any questions, please open an issue stating the encountered problem. Contributing is always welcome. The Github repository Issues URL. And contributing is always welcome. The Github repository URL.

Happy hacking!! 🖖🖖.