James M. Naessens

According to our database, James M. Naessens authored at least 14 papers between 1998 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Using machine learning to improve the accuracy of patient deterioration predictions: Mayo Clinic Early Warning Score (MC-EWS).

Santiago Romero-Brufau, Daniel Whitford, Matthew G. Johnson, Joel Hickman, Bruce W. Morlan, Terry M. Therneau, James M. Naessens, Jeanne M. Huddleston

J. Am. Medical Informatics Assoc., 2021

2019

Deep learning and alternative learning strategies for retrospective real-world clinical data.

David Chen, Sijia Liu, Paul R. Kingsbury, Sunghwan Sohn, Curtis B. Storlie, Elizabeth B. Habermann, James M. Naessens, David W. Larson, Hongfang Liu

npj Digit. Medicine, 2019

Detection of Surgical Site Infection Utilizing Automated Feature Generation in Clinical Notes.

Feichen Shen, David W. Larson, James M. Naessens, Elizabeth B. Habermann, Hongfang Liu, Sunghwan Sohn

J. Heal. Informatics Res., 2019

2018

Patient portal adoption and use by hospitalized cancer patients: a retrospective study of its impact on adverse events, utilization, and patient satisfaction.

Duaa I Aljabri, Adrian G. Dumitrascu, M. Caroline Burton, Launia White, Mahmud Khan, Sudha Xirasagar, Ronnie Horner, James M. Naessens

BMC Medical Informatics Decis. Mak., 2018

Patient portal use and hospital outcomes.

Adrian G. Dumitrascu, M. Caroline Burton, Nancy L. Dawson, Colleen S. Thomas, Lisa M. Nordan, Hope E. Greig, Duaa I Aljabri, James M. Naessens

J. Am. Medical Informatics Assoc., 2018

2017

Locally Generated Bayesian Network Prediction of Colorectal Surgical Site Infections.

Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn

Proceedings of the Summit on Clinical Research Informatics, 2017

Prediction of Organ Space Colorectal Surgical Site Infections Using Prognostic Bayesian Networks.

Yangmei Zhou, David W. Larson, Elizabeth B. Habermann, James M. Naessens, Hongfang Liu, Sunghwan Sohn

Proceedings of the Summit on Clinical Research Informatics, 2017

2015

Prediction of Colorectal Surgical Site Infections Using Risk Factors.

Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu

Proceedings of the AMIA 2015, 2015

Detection of Colorectal Surgical Site Infections Using Bayesian Network and Natural Language Processing.

Sunghwan Sohn, Majid Rastegar-Mojarad, James M. Naessens, Elizabeth B. Habermann, David W. Larson, Hongfang Liu

Proceedings of the AMIA 2015, 2015

2014

Clinical Decision Support Integrated in the Electronic Medical Record to Reduce Overuse of Blood Product Transfusion in the Cardiac Surgery ICU.

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

Proceedings of the AMIA 2014, 2014

2006

Primary Care Physician Portal - Delivering Practice Information at the Finger Tip.

Ahmed S. Rahman, James M. Naessens, Rosa L. Cabanela, Stephanie S. Anderson

Proceedings of the AMIA 2006, 2006

Effect of E-mail versus Postal Reminders for Mammogram Screening.

Rajeev Chaudhry, Rosa L. Cabanela, Ahmed S. Rahman, Erin McMurtry, Dorinda Leutink, Sidna M. Scheitel, James M. Naessens

Proceedings of the AMIA 2006, 2006

2000

Managing the primary care practice on the Web.

Priscilla van Grevenhof, Ahmed S. Rahman, Rosa L. Cabanela, James M. Naessens, D. Lassig

Proceedings of the AMIA 2000, 2000

1998

Development of a Multi-Year Population-Based Data Warehouse of Standardized Medical Costs: Methods and Results.

Priscilla van Grevenhof, Judith L. Wagner, James M. Naessens, Charles H. Darby, Jill M. Killian, Eva R. Helgeson, Roger Evans

Proceedings of the AMIA 1998, 1998