Multimorbidity refers to the coexistence of two or more chronic diseases in one person.
Therefore, patients with multimorbidity have multiple and special care needs. However, in …

Objective Accurate and rapid phenotyping is a prerequisite to leveraging electronic health
records for biomedical research. While early phenotyping relied on rule-based algorithms …

Electronic health records (EHR) are rich heterogeneous collections of patient health
information, whose broad adoption provides clinicians and researchers unprecedented …

Clinical data are the basic staple of health learning [1]. The rapidly growing interoperable
clinical datasets, including electronic health records (EHR), administrative and claims …

The prevalence of multimorbidity has been increasing in recent years, posing a major
burden for health care delivery and service. Understanding its determinants and impact is …

Recent advances in genomic technology and widespread adoption of electronic health
records (EHRs) have accelerated the development of genomic medicine, bringing promising …

Accurate early prediction of heart failure and identification of heart failure sub-phenotypes
can enable in-time interventions and treatments, assist with policy decisions, and lead to a …

An electronic health record (EHR) is a vital high-dimensional part of medical concepts.
Discovering implicit correlations in the information of this data set and the research and …

Objectives The impacts of missing data in comparative effectiveness research (CER) using
electronic health records (EHRs) may vary depending on the type and pattern of missing …

Phenotyping electronic health records (EHR) focuses on defining meaningful patient groups
(eg, heart failure group and diabetes group) and identifying the temporal evolution of …