Record Details

Development of an AI/ML-ready knee ultrasound dataset in a population-based cohort

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Field Value
 
Title Development of an AI/ML-ready knee ultrasound dataset in a population-based cohort
 
Identifier https://doi.org/10.7910/DVN/SKP9IB
 
Creator Nelson, Amanda
 
Publisher Harvard Dataverse
 
Description About this data
An ultrasound dataset to use in the discovery of ultrasound features associated with pain and radiographic change in KOA is highly innovative and will be a major step forward for the field. These ultrasound images originate from the diverse and inclusive population-based Johnston County Health Study (JoCoHS). This dataset is designed to adhere to FAIR principles and was funded in part by an Administrative Supplement to Improve the AI/ML-Readiness of NIH-Supported Data (3R01AR077060-03S1).
Working with this dataset

WorkingWithTheDataset.ipynb Jupyter notebook
If you are familiar with working with Jupyter notebooks, we recommend using the `WorkingWithTheDataset.ipynb` Jupyter notebook to retrieve, validate, and learn more about the dataset. You should downloading the latest `WorkingWithTheDataset.ipynb` file and uploading it to an online Jupyter environment such as https://colab.research.google.com or use the notebook in your Jupyter environment of choice. You will also need to download the `CONFIGURATION_SETTINGS.template.md` file from this dataset since the contents are used to configure the Jupyter notebook.



Note: at the time of this writing, we do not recommend using Binder (mybinder.org) if you are interested in only reviewing the WorkingWithTheDataset.ipynb notebook. When Binder loads the dataset, it will download all files from this dataset, resulting in a long build time. However, if you plan to work with all files in the dataset then Binder might work for you. We do not offer support for this service or other Jupyter Lab environments.
Metadata
The `DatasetMetadata.json` file contains general information about the files and variables within this dataset. We use it as our validation metadata to verify the data we are importing into this Dataverse dataset. This file is also the most comprehensive with regards to the dataset metadata.
Data collection in progress
This dataset is not complete and will be updated regularly as additional data is collected.
 
Subject Medicine, Health and Life Sciences
Body Part
Electronic File Name
Age
Gender
Side
Study Subject Radiography Report
Knee stiff (finding)
Knee pain (finding)
Ultrasonography
Artificial Intelligence
 
Date 2023-04-14
 
Contributor Gale, William