Quantifying the Effect of Statin Use in Pre-Diabetic Phenotypes Discovered Through Association Rule Mining

Por Schrom, John R., Caraballo, Pedro J., Castro, M. Regina, Simon, György J.
Publicado em 2013

Survival Association Rule Mining Towards Type 2 Diabetes Risk Assessment

Por Simon, Gyorgy J., Schrom, John, Castro, M. Regina, Li, Peter W., Caraballo, Pedro J.
Publicado em 2013

Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations

Por Kim, Era, Oh, Wonsuk, Pieczkiewicz, David S., Castro, M. Regina, Caraballo, Pedro J., Simon, Gyorgy J.
Publicado no AMIA Annu Symp Proc (2014)

Type 2 Diabetes Mellitus Trajectories and Associated Risks

Por Oh, Wonsuk, Kim, Era, Castro, M. Regina, Caraballo, Pedro J., Kumar, Vipin, Steinbach, Michael S., Simon, Gyorgy J.
Publicado no Big Data (2016)

Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications

Por Hu, Zhen, Melton, Genevieve B., Moeller, Nathan D., Arsoniadis, Elliot G., Wang, Yan, Kwaan, Mary R., Jensen, Eric H., Simon, Gyorgy J.
Publicado no AMIA Annu Symp Proc (2017)

A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications

Por Pruinelli, Lisiane, Yadav, Pranjul, Hangsleben, Andrew, Johnson, Jakob, Dey, Sanjoy, McCarty, Maribet, Kumar, Vipin, Delaney, Connie W., Steinbach, Michael, Westra, Bonnie L., Simon, György J.
Publicado no AMIA Jt Summits Transl Sci Proc (2016)

Artificial Intelligence and Machine Learning in Health Care and Medical Sciences

Publicado no Health Informatics (2024)