Elizabeth B. Habermann

According to our database, Elizabeth B. Habermann authored at least 7 papers between 2015 and 2019.

Collaborative distances:

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

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

Relationship Between Very Cold Outside Weather and Surgical Outcome: Integrating Shallow and Deep Artificial Neural Nets.

Ahmad P. Tafti, Yue Dong, Elizabeth B. Habermann, Hongfang Liu, Vitaly Herasevich

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

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