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ORCIDPedro J. Caraballo
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2020 – today
- 2024
[j13]Hana Bangash
, Seyedmohammad Saadatagah, Mohammadreza Naderian, Marwan E. Hamed, Lubna Alhalabi, Alborz Sherafati, Joseph Sutton, Omar Elsekaily, Ali Mir, Justin H. Gundelach, Daniel Gibbons, Paul J. Johnsen, Christina M. Wood-Wentz, Carin Y. Smith, Pedro J. Caraballo, Kent R. Bailey, Iftikhar J. Kullo:
Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels. npj Digit. Medicine 7(1) (2024)- 2023
- [c27]Haoyu Yang, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. ICHI 2023: 1-11 - [c26]Anne M. Meehan, Marcia A. Core, Jared M. Ross, Parvez A. Rahman, Bijan J. Borah, Pedro J. Caraballo:
Clinical Implementation of an AI Early Warning System Algorithm: Lessons Learned. MedInfo 2023: 1376-1377 - [c25]Pedro J. Caraballo, Johan M. Bos, Ray Qian, Karen M. Fischer, Paul J. Johnsen, Diana J. Schreie, György J. Simon, Michael J. Ackerman:
Decision Support System Detecting Patients at Risk of Prolonged QT and Associated Mortality. MedInfo 2023: 1378-1379 - 2022
- [c24]Xinpeng Shen, Sisi Ma, Pedro J. Caraballo, Prashanthi Vemuri, György J. Simon:
A novel method for handling Missing Not at Random Data in the electronic health records. ICHI 2022: 21-26 - 2021
- [j12]Mullai Murugan, Lawrence J. Babb, Casey Overby Taylor, Luke V. Rasmussen, Robert R. Freimuth, Eric Venner, Fei Yan, Victoria Yi, Stephen J. Granite, Hana Zouk, Samuel J. Aronson, Kevin Power, Alexander Fedotov, David R. Crosslin, David Fasel, Gail P. Jarvik, Hakon Hakonarson, Hana Bangash, Iftikhar J. Kullo, John J. Connolly, Jordan G. Nestor, Pedro J. Caraballo, Wei-Qi Wei, Ken Wiley, Heidi L. Rehm, Richard A. Gibbs:
Genomic considerations for FHIR®; eMERGE implementation lessons. J. Biomed. Informatics 118: 103795 (2021) - [j11]Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon:
A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. IEEE J. Biomed. Health Informatics 25(7): 2476-2486 (2021) - 2020
- [j10]Pedro J. Caraballo, Joseph A. Sutton, Jyothsna Giri, Jessica A. Wright, Wayne T. Nicholson, Iftikhar J. Kullo, Mark A. Parkulo, Suzette J. Bielinski, Ann M. Moyer:
Integrating pharmacogenomics into the electronic health record by implementing genomic indicators. J. Am. Medical Informatics Assoc. 27(1): 154-158 (2020) - [j9]György J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo:
Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. BMC Medical Informatics Decis. Mak. 20(1): 6 (2020) - [c23]Pedro J. Caraballo, Jeremy D. Collins, Stacy R. Schultz, Kenneth Aakre, Joseph A. Sutton, Paul J. Johnsen, Mark A. Parkulo, Karl Krecke:
Implementing Advanced Imaging Decision Support: Lessons Learned. AMIA 2020 - [i1]Xinpeng Shen, Sisi Ma, Prashanthi Vemuri, M. Regina Castro, Pedro J. Caraballo, György J. Simon:
A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus. CoRR abs/2011.05489 (2020)
2010 – 2019
- 2019
- [j8]Timothy M. Herr, Josh F. Peterson, Luke V. Rasmussen, Pedro J. Caraballo, Peggy L. Peissig, Justin B. Starren:
Pharmacogenomic clinical decision support design and multi-site process outcomes analysis in the eMERGE Network. J. Am. Medical Informatics Assoc. 26(2): 143-148 (2019) - [j7]Era Kim, Pedro J. Caraballo, M. Regina Castro, David S. Pieczkiewicz, György J. Simon:
Towards more Accessible Precision Medicine: Building a more Transferable Machine Learning Model to Support Prognostic Decisions for Micro- and Macrovascular Complications of Type 2 Diabetes Mellitus. J. Medical Syst. 43(7): 185:1-185:12 (2019) - [c22]Che Ngufor, Pedro J. Caraballo, Thomas J. O'Byrne, David Chen, Nilay D. Shah, Michael S. Steinbach, György J. Simon:
A new representation of disease conditions and treatment pathways accurately predicts mortality and chronic diseases. AMIA 2019 - [c21]Thomas J. O'Byrne, M. Regina Castro, Che Ngufor, György J. Simon, Pedro J. Caraballo:
Using Electronic Health Record Data to Identify Patients with Prediabetes. AMIA 2019 - [c20]Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon:
Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. IEEE BigData 2019: 1981-1990 - [c19]Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon:
Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. MedInfo 2019: 288-292 - [c18]Kari Bunkers, Daniel J. Cronk, Marcia A. Core, David Blair, Mark A. Parkulo, Pedro J. Caraballo:
Impact of the Performance Gap Between Interactive Alerts and Quality Metrics. MedInfo 2019: 1646-1647 - 2018
- [j6]Samuel J. Aronson, Lawrence J. Babb, Darren C. Ames, Richard A. Gibbs, Eric Venner, John J. Connelly, Keith Marsolo, Chunhua Weng, Marc S. Williams, Andrea L. Hartzler, Wayne H. Liang, James D. Ralston, Emily Beth Devine, Shawn N. Murphy, Christopher G. Chute, Pedro J. Caraballo, Iftikhar J. Kullo, Robert R. Freimuth, Luke V. Rasmussen, Firas H. Wehbe, Josh F. Peterson, Jamie R. Robinson, Ken Wiley, Casey Overby Taylor, eMERGE Network EHRI Working Group:
Empowering genomic medicine by establishing critical sequencing result data flows: the eMERGE example. J. Am. Medical Informatics Assoc. 25(10): 1375-1381 (2018) - [c17]Alena Orlenko, Jason H. Moore, Patryk Orzechowski, Randal S. Olson, Junmei Cairns, Pedro J. Caraballo, Richard M. Weinshilboum, Liewei Wang, Matthew K. Breitenstein:
Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. PSB 2018: 460-471 - 2017
- [j5]Sunita Sharma, J. Martijn Bos, Robert F. Tarrell, György J. Simon, Bruce W. Morlan, Michael J. Ackerman, Pedro J. Caraballo:
Providers' Response to Clinical Decision Support for QT Prolonging Drugs. J. Medical Syst. 41(10): 161:1-161:8 (2017) - [c16]Ali Hasnie, Pedro J. Caraballo, Robert R. Freimuth, Iftikhar J. Kullo:
Development & Implementation of a Clinical Decision Support Tool for Familial Hypercholesterolemia. AMIA 2017 - [c15]Pedro J. Caraballo, Jennifer St Sauver, Daniel J. Cronk, Janet E. Olson, John L. Black, Suzette J. Bielinski:
Evolving Pharmacogenomics Test Results and the Burden on Clinical Decision Support Integrated in the Electronic Health Record. CRI 2017 - [c14]Wonsuk Oh, Pranjul Yadav, Vipin Kumar, Pedro J. Caraballo, M. Regina Castro, Michael S. Steinbach, György J. Simon:
Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. ICHI 2017: 374-379 - [c13]Pedro J. Caraballo, Joseph A. Sutton, Ann M. Moyer, David Blair, Lois C. Hines, Padma S. Rao, Mark F. Adams, Sahana Murthy, Tina Garza, Mary E. Karow, Harmanjit Singh, Jyothsna Giri, Donald B. Gabrielson, Jennifer St Sauver, Suzette J. Bielinski, Mark A. Parkulo:
Technical Challenges and Opportunities when Implementing Pharmacogenomics Decision Support Integrated in the Electronic Health Record. MedInfo 2017: 1255 - 2016
- [j4]Wonsuk Oh, Era Kim, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach, György J. Simon:
Type 2 Diabetes Mellitus Trajectories and Associated Risks. Big Data 4(1): 25-30 (2016) - [c12]Christopher A. Aakre, J. Martijn Bos, György J. Simon, Robert F. Tarrell, Michael J. Ackerman, Pedro J. Caraballo:
Clinical Decision Support to Detect High Risk Patients with QTc Prolongation. AMIA 2016 - [c11]Timothy M. Herr, Josh F. Peterson, Luke V. Rasmussen, Pedro J. Caraballo:
Implementing Pharmacogenomic Clinical Decision Support: Design and Prescriber Response in the eMERGE Network. AMIA 2016 - 2015
- [j3]Atsushi Sorita, J. Martijn Bos, Bruce W. Morlan, Robert F. Tarrell, Michael J. Ackerman, Pedro J. Caraballo:
Impact of clinical decision support preventing the use of QT-prolonging medications for patients at risk for torsade de pointes. J. Am. Medical Informatics Assoc. 22(e1): e21-e27 (2015) - [j2]György J. Simon, Pedro J. Caraballo, Terry M. Therneau, Steven S. Cha, M. Regina Castro, Peter W. Li:
Extending Association Rule Summarization Techniques to Assess Risk of Diabetes Mellitus. IEEE Trans. Knowl. Data Eng. 27(1): 130-141 (2015) - [c10]Pedro J. Caraballo, Joseph Sutton, Padma S. Rao, Kelly Wix, Wayne T. Nicholson, Cloann Schultz, Carolyn Rohrer Vitek, Robert R. Bleimeyer, Lois C. Hines, David Blair, Mark A. Parkulo:
CDS, EHR and Pharmacogenomics to Estimate Warfarin Dosing. AMIA 2015 - [c9]Pedro J. Caraballo, Mark A. Parkulo, David Blair, Michelle Elliott, Cloann Schultz, Joseph Sutton, Padma S. Rao, Jamie Bruflat, Robert R. Bleimeyer, John Crooks, Donald B. Gabrielson, Wayne T. Nicholson, Carolyn Rohrer Vitek, Kelly Wix, Suzette J. Bielinski, Jyotishman Pathak, Iftikhar J. Kullo:
Clinical Decision Support to Implement CYP2D6 Drug-Gene Interaction. MedInfo 2015: 946 - 2014
- [c8]Pedro J. Caraballo, David Blair, Michelle Elliott, Robert R. Bleimeyer, John Crooks, Donald B. Gabrielson, Gaurav Jain, Wayne T. Nicholson, Charles Pugh, Padma S. Rao, Cloann Schultz, Lynn Summerlin, Joseph Sutton, Carolyn Rohrer Vitek, Kelly Wix, John L. Black, Mark A. Parkulo:
Use of Enterprise Clinical Decision Support Infrastructure to Implement Pharmacogenomics at the Point of Care. AMIA 2014 - [c7]Era Kim, Wonsuk Oh, David S. Pieczkiewicz, M. Regina Castro, Pedro J. Caraballo, György J. Simon:
Divisive Hierarchical Clustering towards Identifying Clinically Significant Pre-Diabetes Subpopulations. AMIA 2014 - [c6]Maryanne E. Mathiowetz, Jennifer L. Horn, Samanthie I. Epps, Paul J. Johnsen, Pedro J. Caraballo:
Point of Care Intake Tool and Clinical Decision Support to Achieve Meaningful Use. AMIA 2014 - [c5]Joseph H. Skalski, James R. Stubbs, Andrew Higgins, Lance A. Trewhella, Robert R. Bleimeyer, Kristy Doan, James M. Naessens, Pedro J. Caraballo, Mark H. Ereth:
Clinical Decision Support Integrated in the Electronic Medical Record to Reduce Overuse of Blood Product Transfusion in the Cardiac Surgery ICU. AMIA 2014 - 2013
- [c4]Donald B. Gabrielson, Thomas L. Cochran, Robert R. Bleimeyer, Charles Pugh, Mark A. Parkulo, Pedro J. Caraballo:
Clinical Decision Support Rule Performance Reporting: Helpful or Heartache? AMIA 2013 - [c3]John Schrom, Pedro J. Caraballo, Regina Castro, György J. Simon:
Quantifying the Effect of Statin Use in Pre-Diabetic Phenotypes Discovered Through Association Rule Mining. AMIA 2013 - [c2]György J. Simon, John Schrom, Regina Castro, Peter W. Li, Pedro J. Caraballo:
Survival Association Rule Mining Towards Type 2 Diabetes Risk Assessment. AMIA 2013 - 2012
- [j1]Wei-Qi Wei, Cynthia L. Leibson, Jeanine E. Ransom, Abel N. Kho, Pedro J. Caraballo, High Seng Chai, Barbara P. Yawn, Jennifer A. Pacheco, Christopher G. Chute:
Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus. J. Am. Medical Informatics Assoc. 19(2): 219-224 (2012) - [c1]Pedro J. Caraballo, Kristy Doan, Bruce W. Morlan, Kristina Haugaa, J. Martijn Bos, Rick Nishimura, Michael J. Ackerman:
Clinical Burden and Risk of Alert Fatigue Associated with Detection and Documentation of Prolonged QT Interval Using an Expert Rule System. AMIA 2012
Coauthor Index
aka: M. Regina Castro
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last updated on 2024-10-07 21:22 CEST by the dblp team
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