Artificial intelligence in COVID-19 drug repurposing

Y Zhou, F Wang, J Tang, R Nussinov… - The Lancet Digital …, 2020 - thelancet.com
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 …

Precision health data: Requirements, challenges and existing techniques for data security and privacy

C Thapa, S Camtepe - Computers in biology and medicine, 2021 - Elsevier
Precision health leverages information from various sources, including omics, lifestyle,
environment, social media, medical records, and medical insurance claims to enable …

Large language models are few-shot clinical information extractors

M Agrawal, S Hegselmann, H Lang, Y Kim… - arxiv preprint arxiv …, 2022 - arxiv.org
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 …

The human phenotype ontology in 2021

S Köhler, M Gargano, N Matentzoglu… - Nucleic acids …, 2021 - academic.oup.com
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 …

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) …

Biases in electronic health record data due to processes within the healthcare system: retrospective observational study

D Agniel, IS Kohane, GM Weber - Bmj, 2018 - bmj.com
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) …

A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data

MG Kahn, TJ Callahan, J Barnard, AE Bauck… - Egems, 2016 - pmc.ncbi.nlm.nih.gov
Objective: Harmonized data quality (DQ) assessment terms, methods, and reporting
practices can establish a common understanding of the strengths and limitations of …

Machine learning methods to predict diabetes complications

A Dagliati, S Marini, L Sacchi, G Cogni… - Journal of diabetes …, 2018 - journals.sagepub.com
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 …

Towards lifelong learning of large language models: A survey

J Zheng, S Qiu, C Shi, Q Ma - ACM Computing Surveys, 2024 - dl.acm.org
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 …

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

GA Brat, GM Weber, N Gehlenborg, P Avillach… - NPJ digital …, 2020 - nature.com
We leveraged the largely untapped resource of electronic health record data to address
critical clinical and epidemiological questions about Coronavirus Disease 2019 (COVID-19) …