[HTML][HTML] Artificial Intelligence-based technologies in nursing: A scoping literature review of the evidence
Background Research on technologies based on artificial intelligence in healthcare has
increased during the last decade, with applications showing great potential in assisting and …
increased during the last decade, with applications showing great potential in assisting and …
Automatic text summarization of biomedical text data: a systematic review
In recent years, the evolution of technology has led to an increase in text data obtained from
many sources. In the biomedical domain, text information has also evidenced this …
many sources. In the biomedical domain, text information has also evidenced this …
Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives
In secondary analysis of electronic health records, a crucial task consists in correctly
identifying the patient cohort under investigation. In many cases, the most valuable and …
identifying the patient cohort under investigation. In many cases, the most valuable and …
Theoretical integration of user satisfaction and technology acceptance of the nursing process information system
Background The nursing process system (NPS) is used to establish the nursing process
involving assessment, diagnosis, planning, intervention, and evaluation in solving the health …
involving assessment, diagnosis, planning, intervention, and evaluation in solving the health …
[HTML][HTML] MCN: a comprehensive corpus for medical concept normalization
YF Luo, W Sun, A Rumshisky - Journal of biomedical informatics, 2019 - Elsevier
Normalization of clinical text involves linking different ways of talking about the same clinical
concept to the same term in the standardized vocabulary. To date, very few annotated …
concept to the same term in the standardized vocabulary. To date, very few annotated …
[HTML][HTML] A simple neural vector space model for medical concept normalization using concept embeddings
Objective Medical concept normalization (MCN), the task of linking textual mentions to
concepts in an ontology, provides a solution to unify different ways of referring to the same …
concepts in an ontology, provides a solution to unify different ways of referring to the same …
Social risk factors are associated with risk for hospitalization in home health care: a natural language processing study
M Hobensack, J Song, S Oh, L Evans… - Journal of the American …, 2023 - Elsevier
Objective This study aimed to develop a natural language processing (NLP) system that
identified social risk factors in home health care (HHC) clinical notes and to examine the …
identified social risk factors in home health care (HHC) clinical notes and to examine the …
Extractive summarization of clinical trial descriptions
C Gulden, M Kirchner, C Schüttler, M Hinderer… - International journal of …, 2019 - Elsevier
Purpose Text summarization of clinical trial descriptions has the potential to reduce the time
required to familiarize oneself with the subject of studies by condensing long-form detailed …
required to familiarize oneself with the subject of studies by condensing long-form detailed …
Extracting alcohol and substance abuse status from clinical notes: The added value of nursing data
We applied an open source natural language processing (NLP) system “NimbleMiner” to
identify clinical notes with mentions of alcohol and substance abuse. NimbleMiner allows …
identify clinical notes with mentions of alcohol and substance abuse. NimbleMiner allows …
Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients
M Topaz, TA Koleck, N Onorato, A Smaldone… - Nursing outlook, 2021 - Elsevier
Background Nurses often document patient symptoms in narrative notes. Purpose This study
used a technique called natural language processing (NLP) to:(1) Automatically identify …
used a technique called natural language processing (NLP) to:(1) Automatically identify …