A Graphical Toolkit for Longitudinal Dataset Maintenance and Predictive Model Training in Health Care.

ABSTRACT:

Background

Predictive analytic models, including machine learning (ML) models, are increasingly integrated into electronic health record (EHR)-based decision support tools for clinicians. These models have the potential to improve care, but are challenging to internally validate, implement, and maintain over the long term. Principles of ML operations (MLOps) may inform development of infrastructure to support the entire ML lifecycle, from feature selection to long-term model deployment and retraining.

Objectives

This study aimed to present the conceptual prototypes for a novel predictive model management system and to evaluate the acceptability of the system among three groups of end users.

Methods

Based on principles of user-centered software design, human-computer i

SUBMITTER: Bai E 

PROVIDER: S-EPMC8850007 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature