This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included.
This paper [
Is there any plan to release all the code/scripts used in this study? The method seems to be complex involving multiple steps; it will be very difficult to reproduce the results if the code is not available.
The manuscript should include more details on how the transfusion and comparison groups were created.
The author mentioned that the latent Dirichlet allocation (LDA) method they used in topic modeling requires the number of topics to be selected a priori. In this study, they set it to 45. Some questions:
How robust is the “Shakespeare method” with respect to this value? If a different value is chosen, will the method find similar topics? Similar notes for manual document review? Similar TAEs/PTAEs?
How would you determine this value if the method is applied to detect AEs for other treatments?
A brief introduction to the LDA method should be included in the manuscript.
In the
If possible, applying the method in other data sets or for other types of treatment will help to understand how generalizable the method is.
On page 4, section
In the
On page 3, the authors wrote, “The Shakespeare method has three parts,” but the following bullet-point list has 5 items.
On page 8: “The Shakespeare method would likely generalize to other her notes and possibly other types of medical texts.” An additional “her” is inserted.
The revision addressed my previous concerns. I have no further comments.
adverse event
electronic health record
latent Dirichlet allocation
potential transfusion adverse event
transfusion adverse event
None declared.