4 papers · 1 filter
CAAT-EHR: Cross-Attentional Autoregressive Transformer for Multimodal Electronic Health Record Embeddings
Mohammad Al Olaimat, Shaika Chowdhury, Serdar Bozdag
Electronic Health Records (EHRs) contain rich, longitudinal patient information across structured (e.g., labs, vitals, and imaging) and unstructured (e.g., clinical notes) modaliti…
Longitudinal Ensemble Integration for sequential classification with multimodal data
Aviad Susman, Rupak Krishnamurthy, Yan Chak Li +5
Effectively modeling multimodal longitudinal data is a pressing need in various application areas, especially biomedicine. Despite this, few approaches exist in the literature for…
IGCN: Integrative Graph Convolution Networks for patient level insights and biomarker discovery in multi-omics integration
Cagri Ozdemir, Mohammad Al Olaimat, Yashu Vashishath +2
Developing computational tools for integrative analysis across multiple types of omics data has been of immense importance in cancer molecular biology and precision medicine resear…
TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records
Mohammad Al Olaimat, Serdar Bozdag
Motivation: Electronic Health Records (EHR) represent a comprehensive resource of a patient's medical history. EHR are essential for utilizing advanced technologies such as deep le…