MS Pinpoint
Next-generation technologies for personalised medicine for those living with multiple sclerosis.
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MS-PINPOINT is a multi-centre project developing healthcare tools to aid in the treatment of patients with Multiple Sclerosis. Based at UCL, we develop tools for segmenting MS-typical lesions in brain and spinal cord MRI, as well as tools that use electronic health record data to model how individual patients will respond to the range of treatment options available.
To support these endeavours we use MRI and EHR data obtained as part of routine care. In this datacard we provide an overview of the structured data that we store, as free-text data is highly identifiable and cannot be shared in a way that guarantees patient privacy while retaining semblance of the original data.
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For more information, please contact:
Arman Eshaghi
Principal Investigator
View Our Synthetic Data:
Number of images exported:
33,044
The information you see here is synthetic data. It’s not real data, does not contain real patient details, and cannot be traced back to any real patients. It is only designed to look like real health records.
We created these data to show the kind of information used in a research project called MS-Pinpoint. This study aims to develop tools to aid in the treatment of patients with Multiple Sclerosis. The project is a multi-site study, and the Principal Investigator is Arman Eshaghi, an NIHR Advanced Fellow and UCL Principal Research Fellow (Associate Professor).
Because this data is randomly generated using a tool called datafaker, some parts may not make sense — for example, a birth date might appear after a death date. That’s because the columns are made separately and don’t always link together in a realistic way.
Please note that this data is part of our preliminary version of synthetic datasets. We’re actively improving our process so that over time, more datasets will be available, and the data will look more and more like real-world data, without ever containing any real patient details.
This dataset is only for demonstration and learning purposes. Any similarity to real people is purely coincidental.
Number of patients’ structured data:
10,558
Number of free text reports:
563,484
How to browse our synthetic data:
1) In the embedded table above, click the ‘view’ button next to the file you’d like to look at.
2) A new window will open up to Figshare, where the file is stored. You will see a collection of tiles containing the file folder on the top half of the page, and a project description on the bottom half of the page.
3) To view the data in your web browser, click the ‘eye’ icon on your desired file tile.
4) The tabular data will display in your browser. You can expand the screen as needed using the double headed arrow ‘full screen’ icon in the bottom right corner of the table.
5) To download the data, click the ‘download file’ icon on your desired file tile.
6) The files are in CSV format, which is like a simple version of an Excel spreadsheet.
Tip: Each row in the file is a ‘record’ (like a line in a spreadsheet), and each column is a type of information (like date, condition, or measurement).
