[HTML][HTML] Sentiment analysis of clinical narratives: a scoping review
K Denecke, D Reichenpfader - Journal of Biomedical Informatics, 2023 - Elsevier
A clinical sentiment is a judgment, thought or attitude promoted by an observation with
respect to the health of an individual. Sentiment analysis has drawn attention in the …
respect to the health of an individual. Sentiment analysis has drawn attention in the …
Data-driven modeling of pregnancy-related complications
A healthy pregnancy depends on complex interrelated biological adaptations involving
placentation, maternal immune responses, and hormonal homeostasis. Recent advances in …
placentation, maternal immune responses, and hormonal homeostasis. Recent advances in …
Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes
Background Diabetes mellitus is a prevalent metabolic disease characterized by chronic
hyperglycemia. The avalanche of healthcare data is accelerating precision and …
hyperglycemia. The avalanche of healthcare data is accelerating precision and …
Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach
WH Weng, KB Wagholikar, AT McCray… - BMC medical informatics …, 2017 - Springer
Background The medical subdomain of a clinical note, such as cardiology or neurology, is
useful content-derived metadata for developing machine learning downstream applications …
useful content-derived metadata for developing machine learning downstream applications …
AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units
FM Dawoodbhoy, J Delaney, P Cecula, J Yu, I Peacock… - Heliyon, 2021 - cell.com
Introduction Growing demand for mental health services, coupled with funding and resource
limitations, creates an opportunity for novel technological solutions including artificial …
limitations, creates an opportunity for novel technological solutions including artificial …
Improving prediction of suicide and accidental death after discharge from general hospitals with natural language processing
Importance Suicide represents the 10th leading cause of death across age groups in the
United States (12.6 cases per 100 000) and remains challenging to predict. While many …
United States (12.6 cases per 100 000) and remains challenging to predict. While many …
Persons or data points? Ethics, artificial intelligence, and the participatory turn in mental health research.
This article identifies and examines a tension in mental health researchers' growing
enthusiasm for the use of computational tools powered by advances in artificial intelligence …
enthusiasm for the use of computational tools powered by advances in artificial intelligence …
The revival of the notes field: leveraging the unstructured content in electronic health records
Problem: Clinical practice requires the production of a time-and resource-consuming great
amount of notes. They contain relevant information, but their secondary use is almost …
amount of notes. They contain relevant information, but their secondary use is almost …
Machine learning, natural language processing, and the electronic health record: innovations in mental health services research
JB Edgcomb, B Zima - Psychiatric services, 2019 - Am Psychiatric Assoc
An unprecedented amount of clinical information is now available via electronic health
records (EHRs). These massive data sets have stimulated opportunities to adapt …
records (EHRs). These massive data sets have stimulated opportunities to adapt …
Understanding patient satisfaction with received healthcare services: a natural language processing approach
K Doing-Harris, DL Mowery, C Daniels… - AMIA annual …, 2017 - pmc.ncbi.nlm.nih.gov
Important information is encoded in free-text patient comments. We determine the most
common topics in patient comments, design automatic topic classifiers, identify comments' …
common topics in patient comments, design automatic topic classifiers, identify comments' …