Education Catalog

Unraveling Complex Temporal Patterns in EHRs via Robust Irregular Tensor Factorization Electronic health records (EHRs) contain diverse patient data with varying visit frequencies, resulting in unaligned tensors in the time mode. While PARAFAC2 has been used for extracting meaningful medical concepts from EHRs, existing methods fail to capture non-linear and [...]

Temporal Rule Mining for Enhanced Risk Pattern Extraction: A Case Study with Acute Kidney Injury Association rule mining is a widely used data mining technique for extracting knowledge from large datasets. Its application in healthcare involves uncovering meaningful patterns within electronic health records (EHR) to inform clinical decision-making and treatment [...]

PCORnet® Studies: After 10 Years, What is Fit-for-Purpose Informatics? Since 2014, the Patient Centered Outcomes Research Institute (PCORI) has invested over $900 million in the infrastructure of PCORnet®, designed to empower people to make informed health care decisions by enabling clinical research that is faster, easier, and, most importantly, more [...]

The Role of AI in Policy Design: A Case Study on Social Determinants of Health Although recent studies have identified how social determinants of health (SDoH) barriers1 co-occur to form high risk subtypes, it is unclear how they can be translated into healthcare policy. Here we conduct a case study [...]

Clinical phenotyping, which leverages real-world data primarily from electronic health records, is critical to clinical and translational science, clinical and quality registries, and improving direct patient care. While automated digital and electronic phenotyping methods have made significant advances and hold great promise, multiple gaps remain, including: reproducibility, clinical accuracy, and [...]