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Journal Articles
- 2021
[j5]Santiago Romero-Brufau
, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston:
Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS). J. Am. Medical Informatics Assoc. 28(6): 1207-1215 (2021)- 2019
- [j4]Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn:
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes. J. Heal. Informatics Res. 3(3): 267-282 (2019) - [j3]David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu:
Deep learning and alternative learning strategies for retrospective real-world clinical data. npj Digit. Medicine 2 (2019) - 2018
- [j2]Adrian G. Dumitrascu, M. Caroline Burton, Nancy L. Dawson, Colleen S. Thomas, Lisa M. Nordan, Hope E. Greig, Duaa I Aljabri, James M. Naessens:
Patient portal use and hospital outcomes. J. Am. Medical Informatics Assoc. 25(4): 447-453 (2018) - [j1]Duaa I Aljabri, Adrian G. Dumitrascu, M. Caroline Burton, Launia White, Mahmud Khan, Sudha Xirasagar, Ronnie Horner, James M. Naessens:
Patient portal adoption and use by hospitalized cancer patients: a retrospective study of its impact on adverse events, utilization, and patient satisfaction. BMC Medical Informatics Decis. Mak. 18(1): 70:1-70:12 (2018)
Conference and Workshop Papers
- 2017
- [c9]Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn:
Prediction of Organ Space Colorectal Surgical Site Infections Using Prognostic Bayesian Networks. CRI 2017 - [c8]Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn:
Locally Generated Bayesian Network Prediction of Colorectal Surgical Site Infections. CRI 2017 - 2015
- [c7]Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu:
Detection of Colorectal Surgical Site Infections Using Bayesian Network and Natural Language Processing. AMIA 2015 - [c6]Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu:
Prediction of Colorectal Surgical Site Infections Using Risk Factors. AMIA 2015 - 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 - 2006
- [c4]Rajeev Chaudhry, Rosa L. Cabanela, Ahmed S. Rahman, Erin McMurtry, Dorinda Leutink, Sidna M. Scheitel, James M. Naessens:
Effect of E-mail versus Postal Reminders for Mammogram Screening. AMIA 2006 - [c3]Ahmed S. Rahman, James M. Naessens, Rosa L. Cabanela, Stephanie S. Anderson:
Primary Care Physician Portal - Delivering Practice Information at the Finger Tip. AMIA 2006 - 2000
- [c2]Priscilla van Grevenhof, Ahmed S. Rahman, Rosa L. Cabanela, James M. Naessens, D. Lassig:
Managing the primary care practice on the Web. AMIA 2000 - 1998
- [c1]Priscilla van Grevenhof, Judith L. Wagner, James M. Naessens, Charles H. Darby, Jill M. Killian, Eva R. Helgeson, Roger Evans:
Development of a Multi-Year Population-Based Data Warehouse of Standardized Medical Costs: Methods and Results. AMIA 1998
Informal and Other Publications
- 2018
- [i1]Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn:
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes. CoRR abs/1803.08850 (2018)
Coauthor Index
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