De-identification of clinical free text using natural language processing: A systematic review of current approaches
Abstract Background Electronic health records (EHRs) are a valuable resource for data-
driven medical research. However, the presence of protected health information (PHI) …
driven medical research. However, the presence of protected health information (PHI) …
Applying and sharing pre-trained BERT-models for named entity recognition and classification in Swedish electronic patient records
M Grancharova, H Dalianis - … of the 23rd nordic conference on …, 2021 - aclanthology.org
To be able to share the valuable information in electronic patient records (EPR) they first
need to be de-identified in order to protect the privacy of their subjects. Named entity …
need to be de-identified in order to protect the privacy of their subjects. Named entity …
Improving named entity recognition and classification in class imbalanced Swedish electronic patient records through resampling
M Grancharova, H Berg, H Dalianis - Eighth Swedish Language …, 2020 - diva-portal.org
This study attempts to improve NERC, with focus on improving recall, in Swedish electronic
patient records through resampling strategies involving negative class undersampling and …
patient records through resampling strategies involving negative class undersampling and …
Detecting Personal Identifiable Information in Swedish Learner Essays
Linguistic data can—and often does—contain PII (Personal Identifiable Information). Both
from a legal and ethical standpoint, the sharing of such data is not permissible. According to …
from a legal and ethical standpoint, the sharing of such data is not permissible. According to …