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 …
Mining electronic health records (EHRs) A survey
The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …
Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program
Long COVID, or complications arising from COVID-19 weeks after infection, has become a
central concern for public health experts. The United States National Institutes of Health …
central concern for public health experts. The United States National Institutes of Health …
A foundation model for clinician-centered drug repurposing
Drug repurposing—identifying new therapeutic uses for approved drugs—is often a
serendipitous and opportunistic endeavour to expand the use of drugs for new diseases …
serendipitous and opportunistic endeavour to expand the use of drugs for new diseases …
Interpretable classifiers using rules and bayesian analysis: Building a better stroke prediction model
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction
model Page 1 The Annals of Applied Statistics 2015, Vol. 9, No. 3, 1350–1371 DOI …
model Page 1 The Annals of Applied Statistics 2015, Vol. 9, No. 3, 1350–1371 DOI …
Evolution of the open innovation paradigm: Towards a contingent conceptual model
APVBV Lopes, MM de Carvalho - Technological Forecasting and Social …, 2018 - Elsevier
Openness has increasingly become a trend in innovation management. This study aims to
propose a contingent conceptual framework for open innovation that reflects the evolution of …
propose a contingent conceptual framework for open innovation that reflects the evolution of …
Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview
A Dagliati, A Malovini, V Tibollo… - Briefings in …, 2021 - academic.oup.com
Abstract The coronavirus disease 2019 (COVID-19) pandemic has clearly shown that major
challenges and threats for humankind need to be addressed with global answers and …
challenges and threats for humankind need to be addressed with global answers and …
Validation of a common data model for active safety surveillance research
JM Overhage, PB Ryan, CG Reich… - Journal of the …, 2012 - academic.oup.com
Objective Systematic analysis of observational medical databases for active safety
surveillance is hindered by the variation in data models and coding systems. Data analysts …
surveillance is hindered by the variation in data models and coding systems. Data analysts …
Feasibility and utility of applications of the common data model to multiple, disparate observational health databases
Objectives To evaluate the utility of applying the Observational Medical Outcomes
Partnership (OMOP) Common Data Model (CDM) across multiple observational databases …
Partnership (OMOP) Common Data Model (CDM) across multiple observational databases …
Novel data‐mining methodologies for adverse drug event discovery and analysis
An important goal of the health system is to identify new adverse drug events (ADEs) in the
postapproval period. Data‐mining methods that can transform data into meaningful …
postapproval period. Data‐mining methods that can transform data into meaningful …