The application of artificial intelligence in health policy: a scoping review
M Ramezani, A Takian, A Bakhtiari, HR Rabiee… - BMC Health Services …, 2023 - Springer
Background Policymakers require precise and in-time information to make informed
decisions in complex environments such as health systems. Artificial intelligence (AI) is a …
decisions in complex environments such as health systems. Artificial intelligence (AI) is a …
[HTML][HTML] Analyzing patient secure messages using a fast health care interoperability resources (FIHR)–based data model: development and topic modeling study
Background Patient portals tethered to electronic health records systems have become
attractive web platforms since the enacting of the Medicare Access and Children's Health …
attractive web platforms since the enacting of the Medicare Access and Children's Health …
Exploring Cyber Violence against Women and Girls in the Philippines through Mining Online News.
JD Febro-Naga, MAC Tinam-isan - Comunicar: Media Education Research …, 2022 - ERIC
Violence against women and girls (VAWG) is not a recent phenomenon. What is new is the
additional increasing threats that millions of women and girls face because of the rapid …
additional increasing threats that millions of women and girls face because of the rapid …
Hierarchical predictive coding models in a deep-learning framework
M Hosseini, A Maida - arXiv preprint arXiv:2005.03230, 2020 - arxiv.org
Bayesian predictive coding is a putative neuromorphic method for acquiring higher-level
neural representations to account for sensory input. Although originating in the …
neural representations to account for sensory input. Although originating in the …
Improving sentiment analysis on clinical narratives by exploiting UMLS semantic types
N Sanglerdsinlapachai, A Plangprasopchok… - Artificial intelligence in …, 2021 - Elsevier
Sentiments associated with assessments and observations recorded in a clinical narrative
can often indicate a patient's health status. To perform sentiment analysis on clinical …
can often indicate a patient's health status. To perform sentiment analysis on clinical …
Scientific clickbait: Examining media coverage and readability in genome-wide association research
In the present study, we analyzed a large corpus of English-language online media articles
covering genome-wide association studies (GWAS), exemplifying the use of computational …
covering genome-wide association studies (GWAS), exemplifying the use of computational …
[HTML][HTML] Perceptions of Edinburgh: Capturing neighbourhood characteristics by clustering geoparsed local news
The communities that we live in affect our health in ways that are complex and hard to
define. Moreover, our understanding of the place-based processes affecting health and …
define. Moreover, our understanding of the place-based processes affecting health and …
Sentiment analysis in understanding the potential of online news in the public health crisis response
This study analyzes online news disseminated throughout the pre-, during-, and post-
intervention periods of the “Syphilis No!” Project, which was developed in Brazil between …
intervention periods of the “Syphilis No!” Project, which was developed in Brazil between …
Arabic sentiment analysis on chewing Khat leaves using machine learning and ensemble methods
WMS Yafooz, EA Hizam, WA Alromema - Engineering, Technology & …, 2021 - etasr.com
Sentiment analysis plays an important role in obtaining speakers' opinions or feelings
towards events, products, topics, or services, helping businesses to improve their products …
towards events, products, topics, or services, helping businesses to improve their products …
Leveraging investments, promoting transparency and mobilising communities: a qualitative analysis of news articles about how the Ebola outbreak informed COVID …
LP Courtney, M Billaud, A Paulenich, R Chew… - BMJ Global …, 2024 - gh.bmj.com
Background The WHO declared the novel COVID-19 outbreak a pandemic in March 2020.
While the COVID-19 pandemic was unprecedented, prior experiences with diseases such …
While the COVID-19 pandemic was unprecedented, prior experiences with diseases such …