Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
- Publication Type
Articles 1 - 2 of 2
Full-Text Articles in Vital and Health Statistics
Machine Learning Models Leveraging Patient-Similarity And Clinical Temporality For Disease Prognoses, Ahmad F. Al Musawi
Machine Learning Models Leveraging Patient-Similarity And Clinical Temporality For Disease Prognoses, Ahmad F. Al Musawi
Theses and Dissertations
Electronic Health Records (EHRs) constitute a comprehensive and high-dimensional repository of clinical data, encompassing a wide array of patient-level information such as diagnoses, procedures, medications, laboratory results, and unstructured clinical narratives. These data hold immense potential for advancing predictive modeling in healthcare, including tasks such as disease progression modeling, hospital readmission prediction, and length of stay (LoS) estimation. However, the intrinsic complexity of EHR data—manifested in its heterogeneity, sparsity, and temporal dynamics—poses significant analytical challenges that limit the generalizability and interpretability of conventional machine learning models. Recent methodological advancements in deep learning and graph-based learning, particularly Graph Neural Networks (GNNs), …
Intervention Time Series Analysis Of Organ Donor Transplants In The Us, Supraja Malladi
Intervention Time Series Analysis Of Organ Donor Transplants In The Us, Supraja Malladi
Biology and Medicine Through Mathematics Conference
No abstract provided.