Latest AI and machine learning research in information technology for healthcare professionals.
OBJECTIVES: Electronic health record (EHR) data may facilitate the identification of rare diseases i...
The association between electronic health record (EHR) documentation and physician burnout is well-k...
BACKGROUND: Falls involve dynamic risk factors that change over time, but most studies on fall-risk ...
Most agree that the current healthcare system is broken. Fortunately, technology is increasing at an...
The lack of transparency and explainability hinders the clinical adoption of Machine learning (ML) a...
OBJECTIVE: Surgical outcome prediction is challenging but necessary for postoperative management. Cu...
In 2003, the Human Disease Ontology (DO, https://disease-ontology.org/) was established at Northwest...
Plant Reactome (https://plantreactome.gramene.org) is a freely accessible, comprehensive plant pathw...
Acute coronary syndrome (ACS) is an acute heart disease that often evolves rapidly. In ACS patients ...
Diagnostic codes in the Electronic Health Record (EHR) are known to be limited in reporting patient ...
Electronic health records (EHRs) contain valuable patient data for health-related prediction tasks, ...
Nowadays, healthcare systems increasingly utilize automated surveillance of electronic medical recor...
Large electronic health records (EHR) have been widely implemented and are available for research ac...
The integration of Remote Patient Monitoring (RPM) data into risk stratification models has emerged ...
Efficient querying for medication information in Electronic Health Record (EHR) datasets is crucial ...
High-throughput phenotyping, the automated mapping of patient signs and symptoms to standardized ont...
Electronic Health Records (EHRs) are valuable healthcare data, aiding researchers and doctors in imp...
Integrating Electronic Health Records (EHR) and the application of machine learning present opportun...
Electronic Health Record (EHR) audit log data are increasingly utilized for clinical tasks, from wor...
The advent of clinical language models integrated into electronic health records (EHR) for clinical ...
Excessive documentation burden is linked to clinician burnout, thus motivating efforts to reduce bur...