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Bryan L Stone

10PUBLICATIONS
18CO-AUTHORS
Planning and decision makingRespiratory diseasesEpidemiological modellingInfant and child healthReinforcement learning
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Journal

Publications (10)

Sort by Publication Date:
|Apr 17, 2024
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection.

Flory L Nkoy, Bryan L Stone, Yue Zhang

|May 18, 2021
Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis.

Gang Luo, Bryan L Stone, Xiaoming Sheng

|Dec 31, 2020
Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis.

Gang Luo, Michael D Johnson, Flory L Nkoy

|Jan 22, 2020
Developing a Model to Predict Hospital Encounters for Asthma in Asthmatic Patients: Secondary Analysis.

Gang Luo, Shan He, Bryan L Stone

|Jun 15, 2019
Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis.

Gang Luo, Bryan L Stone, Corinna Koebnick

|Jan 23, 2019
Predicting Appropriate Hospital Admission of Emergency Department Patients with Bronchiolitis: Secondary Analysis.

Gang Luo, Bryan L Stone, Flory L Nkoy

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Frequent Collaborators

10 joint publications

Gang Luo

9 joint publications

Flory L Nkoy

6 joint publications

Michael D Johnson

6 joint publications

Shan He

4 joint publications

Xiaoming Sheng

2 joint publications

Maureen A Murtaugh

2 joint publications

Corinna Koebnick

1 joint publications

Farrant Sakaguchi

1 joint publications

Peter Tarczy-Hornoch

1 joint publications

Adam B Wilcox

Frequent Collaborators

10 joint publications

Gang Luo

9 joint publications

Flory L Nkoy

6 joint publications

Michael D Johnson

6 joint publications

Shan He

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