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Artificial intelligence in COVID-19 drug repurposing
Drug repurposing or repositioning is a technique whereby existing drugs are used to treat
emerging and challenging diseases, including COVID-19. Drug repurposing has become a …
emerging and challenging diseases, including COVID-19. Drug repurposing has become a …
Precision health data: Requirements, challenges and existing techniques for data security and privacy
Precision health leverages information from various sources, including omics, lifestyle,
environment, social media, medical records, and medical insurance claims to enable …
environment, social media, medical records, and medical insurance claims to enable …
Large language models are few-shot clinical information extractors
A long-running goal of the clinical NLP community is the extraction of important variables
trapped in clinical notes. However, roadblocks have included dataset shift from the general …
trapped in clinical notes. However, roadblocks have included dataset shift from the general …
The human phenotype ontology in 2021
Abstract The Human Phenotype Ontology (HPO, https://hpo. jax. org) was launched in 2008
to provide a comprehensive logical standard to describe and computationally analyze …
to provide a comprehensive logical standard to describe and computationally analyze …
Natural language processing systems for capturing and standardizing unstructured clinical information: a systematic review
K Kreimeyer, M Foster, A Pandey, N Arya… - Journal of biomedical …, 2017 - Elsevier
We followed a systematic approach based on the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) …
Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) …
Biases in electronic health record data due to processes within the healthcare system: retrospective observational study
Objective To evaluate on a large scale, across 272 common types of laboratory tests, the
impact of healthcare processes on the predictive value of electronic health record (EHR) …
impact of healthcare processes on the predictive value of electronic health record (EHR) …
A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data
Objective: Harmonized data quality (DQ) assessment terms, methods, and reporting
practices can establish a common understanding of the strengths and limitations of …
practices can establish a common understanding of the strengths and limitations of …
Machine learning methods to predict diabetes complications
One of the areas where Artificial Intelligence is having more impact is machine learning,
which develops algorithms able to learn patterns and decision rules from data. Machine …
which develops algorithms able to learn patterns and decision rules from data. Machine …
Towards lifelong learning of large language models: A survey
As the applications of large language models (LLMs) expand across diverse fields, their
ability to adapt to ongoing changes in data, tasks, and user preferences becomes crucial …
ability to adapt to ongoing changes in data, tasks, and user preferences becomes crucial …
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium
We leveraged the largely untapped resource of electronic health record data to address
critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19) …
critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19) …