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

Arnold Kamis   1 * , PhD ;   Nidhi Gadia   1 * , MS ;   Zilin Luo   1 * , MS ;   Shu Xin Ng   1 * , MS ;   Mansi Thumbar   1 * , MS

1 Brandeis International Business School, Brandeis University, Waltham, MA, United States

*all authors contributed equally

Corresponding Author:

  • Arnold Kamis, PhD
  • Brandeis International Business School
  • Brandeis University
  • Sachar International Center
  • 415 South St
  • Waltham, MA, 02453
  • United States
  • Phone: 1 781-736-8544
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  • Email: akamis@brandeis.edu