Recently, assistive explanations for difficulties in the health check area have been made
viable thanks in considerable portion to technologies like deep learning and machine …

Medication recommendation systems have gained significant attention in healthcare as a
means of providing tailored and effective drug combinations based on patients' clinical …

The recommendation of medication is a vital aspect of intelligent healthcare systems, as it
involves prescribing the most suitable drugs based on a patient's specific health needs …

Medication recommendation is a crucial application of artificial intelligence in healthcare.
Current methodologies mostly depend on patient-level longitudinal representation, which …

Glioblastoma (GBM), a common cancer of the central nervous system (CNS), is considered
incurable worldwide. The treatment of GBM varies from patient to patient, as conventional …

Making accurate and safe clinical decisions for patients has long been a challenging task.
With the proliferation of electronic health records and the rapid advancement of technology …

Abstract Medication recommendation using Electronic Health Records (EHR) is challenging
due to complex medical data. Current approaches extract longitudinal information from …

Abstract Electronic Health Records (EHRs) significantly enhance clinical decision-making,
particularly in safe and effective medication recommendation based on complex patient …

Medication recommendation (MR) focuses on generating a medication combination without
adverse drug-drug interactions (DDIs) based on electronic health records (EHRs) in making …

While recent advancements in aligning Large Language Models (LLMs) with
recommendation tasks have shown great potential and promising performance overall …