This paper is in the following e-collection/theme issue:

Foundations of AI (47) Artificial Intelligence (1371) AI Data (13) Research Methodology - AI (14)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58455, first published .
Obtaining the Most Accurate, Explainable Model for Predicting Chronic Obstructive Pulmonary Disease: Triangulation of Multiple Linear Regression and Machine Learning Methods

Obtaining the Most Accurate, Explainable Model for Predicting Chronic Obstructive Pulmonary Disease: Triangulation of Multiple Linear Regression and Machine Learning Methods

Obtaining the Most Accurate, Explainable Model for Predicting Chronic Obstructive Pulmonary Disease: Triangulation of Multiple Linear Regression and Machine Learning Methods

Authors of this article:

Arnold Kamis1 Author Orcid Image ;   Nidhi Gadia1 Author Orcid Image ;   Zilin Luo1 Author Orcid Image ;   Shu Xin Ng1 Author Orcid Image ;   Mansi Thumbar1 Author Orcid Image
Article Authors Cited by Tweetations Metrics Author Video