Gang Luo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 29

Top Topics

Emergency Department

Chronic Obstructive Pulmonary Disease

Machine Learning

Top Venues

JMIR medical informatics

JMIR research protocols

Journal of medical Internet research

IEEE access : practical innovations, open solutions

This page only lists publications with an associated author ORCID identifier.

Publications

Flory L Nkoy, Bryan L Stone, Yue Zhang, Gang Luo
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection. JMIR medical informatics 12 (2024)
Flory L Nkoy, Bryan L Stone, Yue Zhang, Gang Luo
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection. JMIR medical informatics 12 (2024)
Flory L Nkoy, Bryan L Stone, Yue Zhang, Gang Luo
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection. JMIR medical informatics 12 (2024)
Flory L Nkoy, Bryan L Stone, Yue Zhang, Gang Luo
A Roadmap for Using Causal Inference and Machine Learning to Personalize Asthma Medication Selection. JMIR medical informatics 12 (2024)
Qifei Dong, Xiaoyi Zhang, Gang Luo
Improving the Accuracy of Progress Indication for Constructing Deep Learning Models. IEEE access : practical innovations, open solutions 10 (2022)
Gang Luo
A Roadmap for Boosting Model Generalizability for Predicting Hospital Encounters for Asthma. JMIR medical informatics 10 (3) (2022)
Xiaoyi Zhang, Gang Luo
Error and Timeliness Analysis for Using Machine Learning to Predict Asthma Hospital Visits: Retrospective Cohort Study. JMIR medical informatics 10 (6) (2022)
Siyang Zeng, Mehrdad Arjomandi, Gang Luo
Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study. JMIR medical informatics 10 (2) (2022)
Siyang Zeng, Mehrdad Arjomandi, Yao Tong, Zachary C Liao, Gang Luo
Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study. Journal of medical Internet research 24 (1) (2022)
Mohamed Ismail Seedahmed, Izabella Mogilnicka, Siyang Zeng, Gang Luo, Mary A Whooley, Charles E McCulloch, Laura L Koth, Mehrdad Arjomandi
Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using Diagnostic Codes in Electronic Medical Records: Case Validation Study From 2 Veterans Affairs Medical Centers. JMIR formative research 6 (3) (2022)
Gang Luo, Bryan L Stone, Xiaoming Sheng, Shan He, Corinna Koebnick, Flory L Nkoy
Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis. JMIR research protocols 10 (5) (2021)
Gang Luo, Claudia L Nau, William W Crawford, Michael Schatz, Robert S Zeiger, Corinna Koebnick
Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis. Journal of medical Internet research 23 (4) (2021)
Yao Tong, Amanda I Messinger, Adam B Wilcox, Sean D Mooney, Giana H Davidson, Pradeep Suri, Gang Luo
Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study. Journal of medical Internet research 23 (4) (2021)
Yao Tong, Zachary C Liao, Peter Tarczy-Hornoch, Gang Luo
Using a Constraint-Based Method to Identify Chronic Disease Patients Who Are Apt to Obtain Care Mostly Within a Given Health Care System: Retrospective Cohort Study. JMIR formative research 5 (10) (2021)
Gang Luo
A Roadmap for Automating Lineage Tracing to Aid Automatically Explaining Machine Learning Predictions for Clinical Decision Support. JMIR medical informatics 9 (5) (2021)
Weipeng Zhou, Gang Luo
Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection. Heterogenous data management, polystores, and analytics for healthcare : VLDB Workshops, Poly 2020 and DMAH 2020 virtual event, August 31 and September 4, 2020 : revised selected papers 12633 (2021)
Xiaoyi Zhang, Gang Luo
Ranking Rule-Based Automatic Explanations for Machine Learning Predictions on Asthma Hospital Encounters in Patients With Asthma: Retrospective Cohort Study. JMIR medical informatics 9 (8) (2021)
Gang Luo, Claudia L Nau, William W Crawford, Michael Schatz, Robert S Zeiger, Emily Rozema, Corinna Koebnick
Developing a Predictive Model for Asthma-Related Hospital Encounters in Patients With Asthma in a Large, Integrated Health Care System: Secondary Analysis. JMIR medical informatics 8 (11) (2020)
Gang Luo, Michael D Johnson, Flory L Nkoy, Shan He, Bryan L Stone
Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis. JMIR medical informatics 8 (12) (2020)
Gang Luo, Shan He, Bryan L Stone, Flory L Nkoy, Michael D Johnson
Developing a Model to Predict Hospital Encounters for Asthma in Asthmatic Patients: Secondary Analysis. JMIR medical informatics 8 (1) (2020)
Qifei Dong, Gang Luo
Progress Indication for Deep Learning Model Training: A Feasibility Demonstration. IEEE access : practical innovations, open solutions 8 (2020)
Gang Luo, Bryan L Stone, Flory L Nkoy, Shan He, Michael D Johnson
Predicting Appropriate Hospital Admission of Emergency Department Patients with Bronchiolitis: Secondary Analysis. JMIR medical informatics 7 (1) (2019)
Gang Luo, Bryan L Stone, Corinna Koebnick, Shan He, David H Au, Xiaoming Sheng, Maureen A Murtaugh, Katherine A Sward, Michael Schatz, Robert S Zeiger, Giana H Davidson, Flory L Nkoy
Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis. JMIR research protocols 8 (6) (2019)
Gang Luo, Michael D Johnson, Flory L Nkoy, Shan He, Bryan L Stone
Appropriateness of Hospital Admission for Emergency Department Patients with Bronchiolitis: Secondary Analysis. JMIR medical informatics 6 (4) (2018)
Gang Luo, Peter Tarczy-Hornoch, Adam B Wilcox, E Sally Lee
Identifying Patients Who Are Likely to Receive Most of Their Care From a Specific Health Care System: Demonstration via Secondary Analysis. JMIR medical informatics 6 (4) (2018)
Gang Luo, Bryan L Stone, Michael D Johnson, Peter Tarczy-Hornoch, Adam B Wilcox, Sean D Mooney, Xiaoming Sheng, Peter J Haug, Flory L Nkoy
Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods. JMIR research protocols 6 (8) (2017)
Xueqiang Zeng, Gang Luo
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection. Health information science and systems 5 (1) (2017)
Gang Luo, Katherine A Sward
A Roadmap for Optimizing Asthma Care Management via Computational Approaches. JMIR medical informatics 5 (3) (2017)
Gang Luo, Bryan L Stone, Michael D Johnson, Flory L Nkoy
Predicting Appropriate Admission of Bronchiolitis Patients in the Emergency Department: Rationale and Methods. JMIR research protocols 5 (1) (2016)
Gang Luo, Bryan L Stone, Farrant Sakaguchi, Xiaoming Sheng, Maureen A Murtaugh
Using Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods. JMIR research protocols 4 (4) (2015)