-
Notifications
You must be signed in to change notification settings - Fork 1
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
3 changed files
with
68 additions
and
1 deletion.
There are no files selected for viewing
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,47 @@ | ||
--- | ||
title: "Harmony's research has been published in BMC Psychiatry!" | ||
description: "Publication of paper: Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data, published in BMC Psychiatry." | ||
date: "2024-08-20" | ||
categories: | ||
- "psychology" | ||
|
||
image: "/images/bmc.png" | ||
url: "/bmc-psychiatry-paper" | ||
|
||
--- | ||
|
||
# BMC Psychiatry has published our paper validating Harmony on real-world data | ||
|
||
We are pleased to announce the publication of a paper validating Harmony on real-life data: [Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data](https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-024-05954-2), authored by [Eoin McElroy](/our-team/), [Thomas Wood](https://fastdatascience.com), Raymond Bond, Maurice Mulvenna, Mark Shevlin, [George B. Ploubidis](/our-team/), [Mauricio Scopel Hoffmann](/our-team/) and [Bettina Moltrecht](/our-team/), and published in [BMC Psychiatry](https://bmcpsychiatry.biomedcentral.com/). | ||
|
||
* McElroy, E., Wood, T.A., Bond, R., Mulvenna M., Shevlin M., Ploubidis G., Scopel Hoffmann M., Moltrecht B., [Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data](https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-024-05954-2#citeas). BMC Psychiatry 24, 530 (2024). https://doi.org/10.1186/s12888-024-05954-2 | ||
|
||
|
||
|
||
|
||
## Summary of the Harmony real-world validation study | ||
|
||
Our study aimed to evaluate the effectiveness of Natural Language Processing (NLP) in [harmonising mental health questionnaires](/ces-d-vs-gad-7/) for cross-study research. | ||
|
||
By comparing the semantic similarity of questionnaire items using NLP (the [Sentence-BERT transformer model](/measuring-the-performance-of-nlp-algorithms/)) with their actual correlation in a sample population, we found a moderate relationship (*r* = .48, *p* < .001) between the two measures. This suggests that NLP can accurately identify similar questions across different questionnaires. | ||
|
||
While the NLP model showed promise in uncovering underlying patterns in the data, it required manual intervention to determine which relationships were truly relevant. | ||
|
||
Our study showed that NLP can be a useful tool to match similar questions from different questionnaires, but it's not perfect and should be used with caution. | ||
|
||
## Citing the BMC validation paper | ||
|
||
A BibTeX entry for LaTeX users is | ||
|
||
``` | ||
@article{mcelroy2024using, | ||
title={Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data}, | ||
author={McElroy, Eoin and Wood, Thomas and Bond, Raymond and Mulvenna, Maurice and Shevlin, Mark and Ploubidis, George B and Hoffmann, Mauricio Scopel and Moltrecht, Bettina}, | ||
journal={BMC psychiatry}, | ||
volume={24}, | ||
number={1}, | ||
pages={530}, | ||
year={2024}, | ||
publisher={Springer} | ||
} | ||
``` |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters