Latest AI and machine learning research in information technology for healthcare professionals.
The rich information underlying graphs has inspired further investigation of unsupervised graph repr...
Early prediction of respiratory failure is critical for timely clinical intervention in intensive ca...
Background: Accurate extraction of Human Phenotype Ontology (HPO) terms from clinical notes is essen...
Objective This study aimed to train and evaluate supervised machine learning algorithms using electr...
Purpose: Psychological distress is highly prevalent in glaucoma and is associated with worse adheren...
Research applications of electronic health record (EHR) phenotypes require translating clinical defi...
Long-horizon clinical simulation -- predicting how a patient's physiology evolves over years under s...
Querying the RDF Portal knowledge graph maintained by DBCLS, which aggregates approximately 60 life-...
Accurate disease trajectory prediction is critical for early intervention, resource allocation, and ...
Reconstructing precise clinical timelines is essential for modeling patient trajectories and forecas...
Background: Mental health systems face escalating demand that exceeds clinician capacity, making acc...
By processing electronic health records (EHRs) as natural language sequences, large language models ...
Electronic Health Records (EHR) contain rich longitudinal patient information and are widely used in...
Menopause affects over one billion women worldwide, yet remains poorly characterized at scale. We ap...
Objective: How structured clinical features and cluster-semantic embeddings interact under self-dist...
We present Clin-JEPA, a multi-phase co-training framework for joint-embedding predictive (JEPA) pret...
Modern cybersecurity relies heavily on static machine-learning-based malware classifiers. However, t...
Rare diseases are characterized by heterogeneous, weak, and sparse phenotypic signals that emerge gr...
Chimeric Antigen Receptor T-cell (CAR-T) therapy, where genetically engineered patient T cells targe...
With the increase of the Electronic Health Records (EHR) data, more and more researchers are develop...
Effectively stratifying patient risk in chronic diseases like glaucoma is a major clinical challenge...