Improving prediction for medical institution with limited patient data: Leveraging hospital-specific data based on multicenter collaborative research network.
Journal:
Artificial intelligence in medicine
Published Date:
Jan 23, 2021
Abstract
BACKGROUND AND OBJECTIVE: Clinical decision support assisted by prediction models usually faces the challenges of limited clinical data and a lack of labels when the model is developed with data from a single medical institution. Accordingly, research on multicenter clinical collaborative networks, which can provide external medical data, has received increasing attention. With the increasing availability of machine learning techniques such as transfer learning, leveraging large-scale patient data from multiple hospitals to build data-driven predictive models with clinical application potential provides an alternative solution to address the problem of limited patient data.