Enabling the adoption of machine learning in clinical decision support: A Total Interpretive Structural Modeling Approach

It has been reported that the healthcare industry is the slowest adopter of artificial intelligence methods, particularly machine learning (ML), compared to other industries. However, ML can provide unprecedented opportunities for clinical decision-making aid that help improve treatment outcomes and...

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Bibliographic Details
Main Authors: Ahmad A. Abujaber, Abdulqadir J. Nashwan, Adam Fadlalla
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235291482200226X