Tutorial on Multiple Mediation Analysis Using Causal Networks: Application to Diagnosing COVID-19 From Its Early and Late Symptoms

A network-based multiple mediation analysis led to new insights by integrating findings of 19 separate regressions into a single network model. The procedure showed how artificial intelligence can help in triage of COVID-19 patients from their symptoms, before any home or laboratory tests.

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Publication Details

Journal
Quality Management in Health Care
Published
2025-04-16
DOI
https://doi.org/10.1097/qmh.0000000000000471
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

Tutorial on Multiple Mediation Analysis Using Causal Networks: Application to Diagnosing COVID-19 From Its Early and Late Symptoms

Farrokh Alemi, Kyung Hee Lee, Vasantha Sandhya Venu, Sai Chandra Nikhil Madduru
Quality Management in Health Care
Mental Health Research Topics
article

Tutorial on Multiple Mediation Analysis Using Causal Networks: Application to Diagnosing COVID-19 From Its Early and Late Symptoms

Farrokh Alemi, Kyung Hee Lee, Vasantha Sandhya Venu, Sai Chandra Nikhil Madduru
article en

Abstract

A network-based multiple mediation analysis led to new insights by integrating findings of 19 separate regressions into a single network model. The procedure showed how artificial intelligence can help in triage of COVID-19 patients from their symptoms, before any home or laboratory tests.

Quality Management in Health CareVol. 34(4)
Lee University (US), Vencore (United States) (US), Museum of Arts and Design (US)
Openalex Percentile: Top 92%
Mental Health Research Topics
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Tutorial on Multiple Mediation Analysis Using Causal Networks: Application to Diagnosing COVID-19 From Its Early and Late Symptoms — Farrokh Alemi, Kyung Hee Lee, et al. · Quality Management in Health Care (2025) | TGRS Research Map | TGRS