On the interpretability of machine learning-based model for predicting hypertension

On the interpretability of machine learning-based model for predicting hypertension

Abstract Background Although complex machine learning models are commonly outperforming the traditional simple interpretable models, clinicians find it hard to understand and trust these complex models due to the lack of intuition and explanation of their predictions. The aim of this study to demons...

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Bibliographic Details
Main Authors: Radwa Elshawi, Mouaz H. Al-Mallah, Sherif Sakr
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Interpretability
Hypertension
Online Access:http://link.springer.com/article/10.1186/s12911-019-0874-0

Internet

http://link.springer.com/article/10.1186/s12911-019-0874-0

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