James M. Naessens

15 papers Misc 7Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS).
J. Am. Medical Informatics Assoc.
Santiago Romero-Brufau, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston
2019 J jnl
Deep learning and alternative learning strategies for retrospective real-world clinical data.
npj Digit. Medicine
David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu
2019 J jnl
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes.
J. Heal. Informatics Res.
Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn
2018 J jnl
Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes.
CoRR
Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn
2018 J jnl
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.
Duaa I Aljabri, Adrian G. Dumitrascu, M. Caroline Burton, Launia White, Mahmud Khan, Sudha Xirasagar, Ronnie Horner, James M. Naessens
2018 J jnl
Patient portal use and hospital outcomes.
J. Am. Medical Informatics Assoc.
Adrian G. Dumitrascu, M. Caroline Burton, Nancy L. Dawson, Colleen S. Thomas, Lisa M. Nordan, Hope E. Greig, Duaa I Aljabri, James M. Naessens
2017 — conf
Locally Generated Bayesian Network Prediction of Colorectal Surgical Site Infections.
CRI
Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn
2017 — conf
Prediction of Organ Space Colorectal Surgical Site Infections Using Prognostic Bayesian Networks.
CRI
Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn
2015 Misc conf
Detection of Colorectal Surgical Site Infections Using Bayesian Network and Natural Language Processing.
AMIA
Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu
2015 Misc conf
Prediction of Colorectal Surgical Site Infections Using Risk Factors.
AMIA
Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu
2014 Misc conf
Clinical Decision Support Integrated in the Electronic Medical Record to Reduce Overuse of Blood Product Transfusion in the Cardiac Surgery ICU.
AMIA
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
2006 Misc conf
Effect of E-mail versus Postal Reminders for Mammogram Screening.
AMIA
Rajeev Chaudhry, Rosa L. Cabanela, Ahmed S. Rahman, Erin McMurtry, Dorinda Leutink, Sidna M. Scheitel, James M. Naessens
2006 Misc conf
Primary Care Physician Portal - Delivering Practice Information at the Finger Tip.
AMIA
Ahmed S. Rahman, James M. Naessens, Rosa L. Cabanela, Stephanie S. Anderson
2000 Misc conf
Managing the primary care practice on the Web.
AMIA
Priscilla van Grevenhof, Ahmed S. Rahman, Rosa L. Cabanela, James M. Naessens, D. Lassig
1998 Misc conf
Development of a Multi-Year Population-Based Data Warehouse of Standardized Medical Costs: Methods and Results.
AMIA
Priscilla van Grevenhof, Judith L. Wagner, James M. Naessens, Charles H. Darby, Jill M. Killian, Eva R. Helgeson, Roger Evans