Identifying who has long COVID in the USA: a machine learning approach using N3C data
Background Post-acute sequelae of SARS-CoV-2 infection, known as long COVID, have
severely affected recovery from the COVID-19 pandemic for patients and society alike. Long …
severely affected recovery from the COVID-19 pandemic for patients and society alike. Long …
Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States
Accessing and integrating human genomic data with phenotypes are important for
biomedical research. Making genomic data accessible for research purposes, however …
biomedical research. Making genomic data accessible for research purposes, however …
A review of automatic phenotyping approaches using electronic health records
Electronic Health Records (EHR) are a rich repository of valuable clinical information that
exist in primary and secondary care databases. In order to utilize EHRs for medical …
exist in primary and secondary care databases. In order to utilize EHRs for medical …
UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER
S Denaxas, A Gonzalez-Izquierdo… - Journal of the …, 2019 - academic.oup.com
Abstract Objective Electronic health records (EHRs) are a rich source of information on
human diseases, but the information is variably structured, fragmented, curated using …
human diseases, but the information is variably structured, fragmented, curated using …
[HTML][HTML] Natural language processing of clinical notes for identification of critical limb ischemia
Background Critical limb ischemia (CLI) is a complication of advanced peripheral artery
disease (PAD) with diagnosis based on the presence of clinical signs and symptoms …
disease (PAD) with diagnosis based on the presence of clinical signs and symptoms …
Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health …
CA Bejan, J Angiolillo, D Conway… - Journal of the …, 2018 - academic.oup.com
Objective Understanding how to identify the social determinants of health from electronic
health records (EHRs) could provide important insights to understand health or disease …
health records (EHRs) could provide important insights to understand health or disease …
[HTML][HTML] Facilitating phenotype transfer using a common data model
Background Implementing clinical phenotypes across a network is labor intensive and
potentially error prone. Use of a common data model may facilitate the process. Methods …
potentially error prone. Use of a common data model may facilitate the process. Methods …
Toward a model for personal health record interoperability
A Roehrs, CA da Costa… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Health information technology, applied to electronic health record (EHR), has evolved with
the adoption of standards for defining patient health records. However, there are many …
the adoption of standards for defining patient health records. However, there are many …
Clinical phenotyping in selected national networks: demonstrating the need for high-throughput, portable, and computational methods
Objective The combination of phenomic data from electronic health records (EHR) and
clinical data repositories with dense biological data has enabled genomic and …
clinical data repositories with dense biological data has enabled genomic and …
Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals
Objective: Phenotyping algorithms applied to electronic health record (EHR) data enable
investigators to identify large cohorts for clinical and genomic research. Algorithm …
investigators to identify large cohorts for clinical and genomic research. Algorithm …