Gang Luo

发表

Automating Construction of Machine Learning Models with Clinical Big Data : Rationale and Methods

S. Mooney, A. Wilcox, P. Haug, 2017 .

Dietary Management Software for Chronic Kidney Disease: Current Status and Open Issues

Mike Conway, Ramkiran Gouripeddi, Jennifer H. Garvin, 2016, HIS.

Using Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods

Gang Luo, Bryan L Stone, Xiaoming Sheng, 2015, JMIR research protocols.

A Roadmap for Optimizing Asthma Care Management via Computational Approaches

Gang Luo, Katherine Sward, K. Sward, 2017, JMIR medical informatics.

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 (Preprint)

P. Tarczy-Hornoch, Gang Luo, Yao Tong, 2020 .

Developing a Predictive Model for Asthma-Related Hospital Encounters in Patients With Asthma in a Large, Integrated Health Care System: Secondary Analysis

W. Crawford, C. Koebnick, M. Schatz, 2020, JMIR medical informatics.

Anticipation in Medicine and Healthcare: Implications for Improving Safety and Quality

P. Tarczy-Hornoch, Gang Luo, T. Staiger, 2019, Handbook of Anticipation.

Identifying Patients Who Are Likely to Receive Most of Their Care From a Specific Health Care System: Demonstration via Secondary Analysis (Preprint)

A. Wilcox, P. Tarczy-Hornoch, Gang Luo, 2018 .

Anticipation in Medicine and Healthcare: Implications for Improving Safety and Quality

Thomas O. Staiger, P. Tarczy-Hornoch, Gang Luo, 2019, Handbook of Anticipation.

Error and Timeliness Analysis for Using Machine Learning to Predict Asthma Hospital Visits: Retrospective Cohort Study

Gang Luo, Xiaoyi Zhang, 2022, JMIR medical informatics.

Performance of a Computational Phenotyping Algorithm for Sarcoidosis Using 4 Diagnostic Codes in Electronic Medical Records: A Pilot Study from Two Veterans Centers

I. Mogilnicka, Gang Luo, L. Koth, 2021 .

Improving the Accuracy of Progress Indication for Constructing Deep Learning Models

Gang Luo, Xiaoyi Zhang, Qifei Dong, 2022, IEEE Access.

Forecasting Daily COVID-19 Related Calls in VA Health Care System: Predictive Model Development

P. Hebert, Gang Luo, Ryan Laundry, 2021, ArXiv.

The Doctor will See You Now: How Machine Learning and Artificial Intelligence Can Extend Our Understanding and Treatment of Asthma.

R. Deterding, Gang Luo, A. Messinger, 2019, The Journal of allergy and clinical immunology.

Predicting Appropriate Hospital Admission of Emergency Department Patients with Bronchiolitis: Secondary Analysis (Preprint)

Gang Luo, B. Stone, Michael D. Johnson, 2018 .

Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection

Gang Luo, G. Luo, Xueqiang Zeng, 2017, Health Information Science and Systems.

PredicT-ML: a tool for automating machine learning model building with big clinical data

Gang Luo, G. Luo, 2016, Health Inf. Sci. Syst..

A systematic review of predictive models for asthma development in children

Michael D. Johnson, Gang Luo, Flory Nkoy, 2015, BMC Medical Informatics and Decision Making.

A review of automatic selection methods for machine learning algorithms and hyper-parameter values

Gang Luo, Gang Luo, G. Luo, 2016, Network Modeling Analysis in Health Informatics and Bioinformatics.

Developing a Machine Learning Model to Predict Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study

Gang Luo, Yao Tong, S. Zeng, 2021, Journal of medical Internet research.

Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction

Gang Luo, Gang Luo, G. Luo, 2016, Health Information Science and Systems.

Automatically Explaining Machine Learning Prediction Results on Asthma Hospital Visits in Patients With Asthma: Secondary Analysis

Gang Luo, B. Stone, Michael D. Johnson, 2020, JMIR medical informatics.

Progress Indication for Machine Learning Model Building: A Feasibility Demonstration

Gang Luo, Gang Luo, G. Luo, 2018, SKDD.

Toward a Progress Indicator for Machine Learning Model Building and Data Mining Algorithm Execution: A Position Paper

Gang Luo, Gang Luo, G. Luo, 2017, SKDD.

Automatic identification of high impact articles in PubMed to support clinical decision making

Guilherme Del Fiol, Siddhartha Jonnalagadda, Gang Luo, 2017, J. Biomed. Informatics.

Predicting asthma control deterioration in children

Gang Luo, Flory Nkoy, Bryan L. Stone, 2015, BMC Medical Informatics and Decision Making.

Using Computational Methods to Improve Integrated Disease Management for Asthma and Chronic Obstructive Pulmonary Disease: Protocol for a Secondary Analysis

C. Koebnick, X. Sheng, Gang Luo, 2021, JMIR research protocols.

Failure to confirm high blood pressures in pediatric care—quantifying the risks of misclassification

C. Koebnick, M. Daley, Gang Luo, 2018, Journal of clinical hypertension.

Predicting Appropriate Admission of Bronchiolitis Patients in the Emergency Department: Rationale and Methods

Gang Luo, Bryan L Stone, Flory L Nkoy, 2016, JMIR research protocols.

A roadmap for semi-automatically extracting predictive and clinically meaningful temporal features from medical data for predictive modeling

Gang Luo, Gang Luo, G. Luo, 2019, Global transitions.

A systematic review of predictive modeling for bronchiolitis

Gang Luo, Flory Nkoy, Bryan L. Stone, 2014, Int. J. Medical Informatics.

Generalizability of an Automatic Explanation Method for Machine Learning Prediction Results on Asthma-Related Hospital Visits in Patients With Asthma: Quantitative Analysis

W. Crawford, C. Koebnick, M. Schatz, 2021, Journal of medical Internet research.

Developing a Model to Predict Hospital Encounters for Asthma in Asthmatic Patients: Secondary Analysis

Gang Luo, B. Stone, Michael D. Johnson, 2020, JMIR medical informatics.

Data Management and Analytics for Medicine and Healthcare

Fusheng Wang, Edmon Begoli, Gang Luo, 2016, Lecture Notes in Computer Science.