Related Experiment Video
Updated: May 10, 2025
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
It's All About Specific Features: Development of Prediction Models for Key Geriatric Risks Across Three Hospital
Julian Gutheil1, Philip Stampfer1, Diether Kramer2,3
1JOANNEUM RESEARCH Forschungsgesellschaft mbH, Graz, Austria.
Background:
Managing geriatric risks is challenging, as early detection of conditions like delirium, frailty, dysphagia, falls, and malnutrition relies on time-intensive manual assessments requiring geriatric expertise. ML approaches can support healthcare professionals by enabling automated risk prediction using electronic health records (EHR) data, but existing models often lack geriatric-specific features.
Objectives:
This study examines whether incorporating geriatric-specific features improves EHR-based prediction models for key geriatric risks and whether a one-shot Federated Learning (FL) approach enhances performance.
Methods:
EHR data from three hospital providers were linked with acute geriatric data to develop and compare three model types: (1) a baseline model using only EHR data, (2) a model incorporating geriatric-specific features, and (3) a FL ensemble.
Results:
Inclusion of geriatric-specific features significantly improved model performance, while a one-shot FL approach provided only marginal, non-significant additional benefit.
Conclusion:
Geriatric-specific features are essential for capturing the complexity of the acute geriatric population.
Related Concept Videos
01:26Aging
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
01:28Current Trends in Nursing I
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...