Electronic health records and polygenic risk scores for predicting disease risk
Accurate prediction of disease risk based on the genetic make-up of an individual is
essential for effective prevention and personalized treatment. Nevertheless, to date …
essential for effective prevention and personalized treatment. Nevertheless, to date …
The emerging landscape of health research based on biobanks linked to electronic health records: Existing resources, statistical challenges, and potential …
Biobanks linked to electronic health records provide rich resources for health‐related
research. With improvements in administrative and informatics infrastructure, the availability …
research. With improvements in administrative and informatics infrastructure, the availability …
Does biologic therapy impact the development of PsA among patients with psoriasis?
Objective To examine the association of biologic therapy use for psoriasis with incident
psoriatic arthritis (PsA) diagnosis. Methods A retrospective cohort study was conducted in …
psoriatic arthritis (PsA) diagnosis. Methods A retrospective cohort study was conducted in …
Use of deep learning to analyze social media discussions about the human papillomavirus vaccine
Importance Human papillomavirus (HPV) vaccine hesitancy or refusal is common among
parents of adolescents. An understanding of public perceptions from the perspective of …
parents of adolescents. An understanding of public perceptions from the perspective of …
Replication of real-world evidence in oncology using electronic health record data extracted by machine learning
Simple Summary Obtaining and structuring information about the characteristics, treatments,
and outcomes of people living with cancer for research purposes is difficult and resource …
and outcomes of people living with cancer for research purposes is difficult and resource …
A framework for understanding selection bias in real-world healthcare data
Using administrative patient-care data such as Electronic Health Records (EHR) and
medical/pharmaceutical claims for population-based scientific research has become …
medical/pharmaceutical claims for population-based scientific research has become …
An augmented estimation procedure for EHR-based association studies accounting for differential misclassification
Objectives The ability to identify novel risk factors for health outcomes is a key strength of
electronic health record (EHR)-based research. However, the validity of such studies is …
electronic health record (EHR)-based research. However, the validity of such studies is …
[HTML][HTML] Guidance of development, validation, and evaluation of algorithms for populating health status in observational studies of routinely collected data (DEVELOP …
W Wang, YH Jin, M Liu, Q He… - Military Medical …, 2024 - mmrjournal.biomedcentral.com
In recent years, there has been a growing trend in the utilization of observational studies that
make use of routinely collected healthcare data (RCD). These studies rely on algorithms to …
make use of routinely collected healthcare data (RCD). These studies rely on algorithms to …
Five analytic challenges in working with electronic health records data to support clinical trials with some solutions
BA Goldstein - Clinical Trials, 2020 - journals.sagepub.com
Electronic health records data are becoming a key data resource in clinical research. Owing
to issues of data efficiency, electronic health records data are being used for clinical trials …
to issues of data efficiency, electronic health records data are being used for clinical trials …
A cost-effective chart review sampling design to account for phenotyping error in electronic health records (EHR) data
Objectives Electronic health records (EHR) are commonly used for the identification of novel
risk factors for disease, often referred to as an association study. A major challenge to EHR …
risk factors for disease, often referred to as an association study. A major challenge to EHR …