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

Viewpoints on and Experiences with Digital Technologies in Health (90) Clinical Information and Decision Making (1721) Machine Learning (1821) Decision Support for Health Professionals (1388) Respiratory Medicine (126) Precision Medicine (116) Artificial Intelligence (1834)

Published on in Vol 12 (2024)

This is a member publication of University of Washington

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56572, first published .
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection

A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection

A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection

Authors of this article:

Flory L Nkoy1 Author Orcid Image ;   Bryan L Stone1 Author Orcid Image ;   Yue Zhang2, 3 Author Orcid Image ;   Gang Luo4 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Gogali A, Kyriakopoulos C, Potonos D, Ladias A, Tatsis K, Kostikas K. Artificial Intelligence in Asthma: Current Status, Opportunities, and Pitfalls. The Journal of Allergy and Clinical Immunology: In Practice 2025 View