AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
The aim of this work was to create a gold-standard curated cohort of 10,000+ cases from the Veteran Affairs (VA) corporate data warehouse (CDW) for virtual emulation of a randomized clinical trial (CSP#592). The trial had six inclusion/exclusion crit...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Clinical question answering systems have the potential to provide clinicians with relevant and timely answers to their questions. Nonetheless, despite the advances that have been made, adoption of these systems in clinical settings has been slow. One...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Many data resources generate, process, store, or provide kidney related molecular, pathological, and clinical data. Reference ontologies offer an opportunity to support knowledge and data integration. The Kidney Precision Medicine Project (KPMP) team...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Electronic Health Records (EHRs) are valuable healthcare data, aiding researchers and doctors in improving diagnosis accuracy. Researchers have developed several predictive models by learning disease representations to forecast the potential diagnosi...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Collecting images of rare dermatological diseases for machine learning detection applications is a costly, laborious task. It is difficult to collect enough images of these diagnoses to avoid the risk of low accuracy "in the wild". One of the sources...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Cancer treatments are known to introduce cardiotoxicity, negatively impacting outcomes and survivorship. Identifying cancer patients at risk of heart failure (HF) is critical to improving cancer treatment outcomes and safety. This study examined mach...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
While there is a growing recognition of the association between depression and asthma, few studies have leveraged deep learning-based (DL-based) models in a retrospective cohort study with a large sample size. We analyzed the association between depr...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
This study investigates cohort selection and its effects on the quality of machine learning (ML) models trained on clinical data, focusing on measurements taken within the first 48 hours of hospital admission. It discusses the potential repercussions...
AMIA ... Annual Symposium proceedings. AMIA Symposium
May 22, 2025
Gene expression profiles obtained through DNA microarray have proven successful in providing critical information for cancer detection classifiers. However, the limited number of samples in these datasets poses a challenge to employ complex methodolo...