A narrative review on the validity of electronic health record-based research in epidemiology
MA Gianfrancesco, ND Goldstein - BMC medical research methodology, 2021 - Springer
Electronic health records (EHRs) are widely used in epidemiological research, but the
validity of the results is dependent upon the assumptions made about the healthcare system …
validity of the results is dependent upon the assumptions made about the healthcare system …
Computational health informatics in the big data age: a survey
The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …
of research activity in the healthcare and data sciences fields. The conventional approaches …
Clinical natural language processing in languages other than English: opportunities and challenges
Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …
outcome has been thriving in recent years. This paper offers the first broad overview of …
Natural language–based machine learning models for the annotation of clinical radiology reports
Purpose To compare different methods for generating features from radiology reports and to
develop a method to automatically identify findings in these reports. Materials and Methods …
develop a method to automatically identify findings in these reports. Materials and Methods …
Androgen deprivation therapy and future Alzheimer's disease risk
Purpose To test the association of androgen deprivation therapy (ADT) in the treatment of
prostate cancer with subsequent Alzheimer's disease risk. Methods We used a previously …
prostate cancer with subsequent Alzheimer's disease risk. Methods We used a previously …
Learning statistical models of phenotypes using noisy labeled training data
Objective Traditionally, patient groups with a phenotype are selected through rule-based
definitions whose creation and validation are time-consuming. Machine learning …
definitions whose creation and validation are time-consuming. Machine learning …
Modern clinical text mining: a guide and review
B Percha - Annual review of biomedical data science, 2021 - annualreviews.org
Electronic health records (EHRs) are becoming a vital source of data for healthcare quality
improvement, research, and operations. However, much of the most valuable information …
improvement, research, and operations. However, much of the most valuable information …
[HTML][HTML] Metformin treatment status and abdominal aortic aneurysm disease progression
N Fujimura, J Xiong, EB Kettler, H Xuan… - Journal of vascular …, 2016 - Elsevier
Objective In population-based studies performed on multiple continents during the past two
decades, diabetes mellitus has been negatively associated with the prevalence and …
decades, diabetes mellitus has been negatively associated with the prevalence and …
A clinical score for predicting atrial fibrillation in patients with cryptogenic stroke or transient ischemic attack
Objectives: Detection of atrial fibrillation (AF) in post-cryptogenic stroke (CS) or transient
ischemic attack (TIA) patients carries important therapeutic implications. Methods: To risk …
ischemic attack (TIA) patients carries important therapeutic implications. Methods: To risk …
Finding missed cases of familial hypercholesterolemia in health systems using machine learning
Familial hypercholesterolemia (FH) is an underdiagnosed dominant genetic condition
affecting approximately 0.4% of the population and has up to a 20-fold increased risk of …
affecting approximately 0.4% of the population and has up to a 20-fold increased risk of …