[HTML][HTML] Natural language processing for clinical notes in dentistry: a systematic review
F Pethani, AG Dunn - Journal of Biomedical Informatics, 2023 - Elsevier
Objective To identify and synthesise research on applications of natural language
processing (NLP) for information extraction and retrieval from clinical notes in dentistry …
processing (NLP) for information extraction and retrieval from clinical notes in dentistry …
Classification of Severe Maternal Morbidity from Electronic Health Records Written in Spanish Using Natural Language Processing
One stepping stone for reducing the maternal mortality is to identify severe maternal
morbidity (SMM) using Electronic Health Records (EHRs). We aim to develop a pipeline to …
morbidity (SMM) using Electronic Health Records (EHRs). We aim to develop a pipeline to …
Automatic correction of real-word errors in Spanish clinical texts
D Bravo-Candel, J López-Hernández, JA García-Díaz… - Sensors, 2021 - mdpi.com
Real-word errors are characterized by being actual terms in the dictionary. By providing
context, real-word errors are detected. Traditional methods to detect and correct such errors …
context, real-word errors are detected. Traditional methods to detect and correct such errors …
CAS: corpus of clinical cases in French
Background Textual corpora are extremely important for various NLP applications as they
provide information necessary for creating, setting and testing those applications and the …
provide information necessary for creating, setting and testing those applications and the …
Natural language processing in electronic health records: A review
P Gurav - Artificial Intelligence in Health, 2024 - accscience.com
The two fundamental tasks that a physician performs during every interaction with a patient
are reading and updating electronic health records (EHRs). Reading the records is …
are reading and updating electronic health records (EHRs). Reading the records is …
Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes
EL Meerwijk, GA Jones, AS Shotqara, S Reyes… - Journal of biomedical …, 2024 - Elsevier
Objective Suicide risk prediction algorithms at the Veterans Health Administration (VHA) do
not include predictors based on the 3-Step Theory of suicide (3ST), which builds on …
not include predictors based on the 3-Step Theory of suicide (3ST), which builds on …
MLM-based typographical error correction of unstructured medical texts for named entity recognition
Background Unstructured text in medical records, such as Electronic Health Records,
contain an enormous amount of valuable information for research; however, it is difficult to …
contain an enormous amount of valuable information for research; however, it is difficult to …
Automatic spelling detection and correction in the medical domain: A systematic literature review
J López-Hernández, A Almela… - … and Innovation: 5th …, 2019 - Springer
Automatic spelling correction is one of the most important problems in natural language
processing. Its difficulty increases in medical corpora, due to the intrinsic particularities that …
processing. Its difficulty increases in medical corpora, due to the intrinsic particularities that …
Analysis of Context-Dependent Errors in the Medical Domain in Spanish: A Corpus-Based Study
JL Hernández, FM Molina, Á Almela - SAGE Open, 2023 - journals.sagepub.com
This corpus-based study aimed to investigate the presence of context-dependent linguistic
errors in a corpus of clinical reports. The data were taken from a corpus comprising more …
errors in a corpus of clinical reports. The data were taken from a corpus comprising more …
Character-Based String Matching Similarity Algorithms for Madurese Spelling Correction: A Preliminary Study
The Madurese language lacks of spelling correction study. Spelling correction suggests a
list of corrections for misspelled words or strings. Its process consists of two steps, ie …
list of corrections for misspelled words or strings. Its process consists of two steps, ie …