Use of unstructured text in prognostic clinical prediction models: a systematic review
Objective This systematic review aims to assess how information from unstructured text is
used to develop and validate clinical prognostic prediction models. We summarize the …
used to develop and validate clinical prognostic prediction models. We summarize the …
Applications of natural language processing at emergency department triage: A narrative review
Introduction Natural language processing (NLP) uses various computational methods to
analyse and understand human language, and has been applied to data acquired at …
analyse and understand human language, and has been applied to data acquired at …
Racial and ethnic differences in emergency department diagnostic imaging at US children's hospitals, 2016-2019
JR Marin, J Rodean, M Hall, ER Alpern… - JAMA network …, 2021 - jamanetwork.com
Importance Diagnostic imaging is frequently performed as part of the emergency department
(ED) evaluation of children. Whether imaging patterns differ by race and ethnicity is …
(ED) evaluation of children. Whether imaging patterns differ by race and ethnicity is …
[HTML][HTML] Use of machine learning approach to predict depression in the elderly in China: a longitudinal study
Background Early detection of potential depression among elderly people is conducive for
timely preventive intervention and clinical care to improve quality of life. Therefore …
timely preventive intervention and clinical care to improve quality of life. Therefore …
Using machine learning approach to predict depression and anxiety among patients with epilepsy in China: a cross-sectional study
Z Wei, X Wang, L Ren, C Liu, C Liu, M Cao… - Journal of Affective …, 2023 - Elsevier
Background Anxiety and depression are the most prevalent comorbidities among epilepsy
patients. The screen and diagnosis of anxiety and depression are quite important for the …
patients. The screen and diagnosis of anxiety and depression are quite important for the …
Prediction of acute appendicitis among patients with undifferentiated abdominal pain at emergency department
Background Early screening and accurately identifying Acute Appendicitis (AA) among
patients with undifferentiated symptoms associated with appendicitis during their emergency …
patients with undifferentiated symptoms associated with appendicitis during their emergency …
Individualized prediction of chronic kidney disease for the elderly in longevity areas in China: Machine learning approaches
Background Chronic kidney disease (CKD) has become a major public health problem
worldwide and has caused a huge social and economic burden, especially in develo** …
worldwide and has caused a huge social and economic burden, especially in develo** …
Natural language processing of nursing notes: an integrative review
Natural language processing includes a variety of techniques that help to extract meaning
from narrative data. In healthcare, medical natural language processing has been a growing …
from narrative data. In healthcare, medical natural language processing has been a growing …
Factors associated with poor self-management documented in home health care narrative notes for patients with heart failure
Background Patients with heart failure (HF) who actively engage in their own self-
management have better outcomes. Extracting data through natural language processing …
management have better outcomes. Extracting data through natural language processing …
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Recent advancements in AI applications to healthcare have shown incredible promise in
surpassing human performance in diagnosis and disease prognosis. With the increasing …
surpassing human performance in diagnosis and disease prognosis. With the increasing …