Skip to main content
NEW
On Demand icon On Demand

Natural Language Processing

Type
AMIA On Demand
Credits
1.00
CME
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 [...]
Course Event Type
NEW
On Demand icon On Demand

PCORnet® Studies: After 10 Years, What is Fit-for-Purpose Informatics?

Type
AMIA On Demand
Credits
1.25
CME
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 [...]
Course Event Type
NEW
On Demand icon On Demand

Social Determinants of Health

Type
AMIA On Demand
Credits
1.50
CME
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 [...]
Course Event Type
NEW
On Demand icon On Demand

The Journey to Pragmatic and Value-Based Phenotyping

Type
AMIA On Demand
Credits
1.25
CME
1.25
CNE
1.25
CNE
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 [...]
Course Event Type
NEW
On Demand icon On Demand

Translational Bioinformatics

Type
AMIA On Demand
Credits
1.00
CME
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models Predicting phenotypes with complex genetic bases based on a small, interpretable set of variant features remains a challenging task. Conventionally, data-driven approaches are utilized for this task, yet the high dimensional nature of genotype data make the analysis [...]
Course Event Type