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David W. Larson
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2020 – today
- 2022
- [j4]Xiaoyang Ruan, Sunyang Fu, Curtis B. Storlie, Kellie L. Mathis, David W. Larson, Hongfang Liu:
Real-time risk prediction of colorectal surgery-related post-surgical complications using GRU-D model. J. Biomed. Informatics 135: 104202 (2022)
2010 – 2019
- 2019
- [j3]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) - [j2]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
- [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) - 2017
- [j1]Pooyan Kazemian, Mustafa Y. Sir, Mark P. Van Oyen, Jenna K. Lovely, David W. Larson, Kalyan S. Pasupathy:
Coordinating clinic and surgery appointments to meet access service levels for elective surgery. J. Biomed. Informatics 66: 105-115 (2017) - [c12]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 - [c11]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 - [c10]Majid Rastegar-Mojarad, Jenna K. Lovely, Joshua J. Pankratz, Sunghwan Sohn, Donna M. Ihrke, Amit Merchea, David W. Larson, Hongfang Liu:
Using Unstructured Data to Identify Readmitted Patients. ICHI 2017: 1-4 - 2016
- [c9]Stephanie K. Furniss, Matthew M. Burton, Adela Grando, David W. Larson, David R. Kaufman:
Integrating Process Mining and Cognitive Analysis to Study EHR Workflow. AMIA 2016 - [c8]Gabriela Martinez, Brian J. Bernard, David W. Larson, Kalyan S. Pasupathy, Mustafa Y. Sir:
A Data-Driven Approach for Better Assignment of Clinical and Surgical Capacity in an Elective Surgical Practice. AMIA 2016 - 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 - [c5]Feichen Shen, Hongfang Liu, Sunghwan Sohn, David W. Larson, Yugyung Lee:
BmQGen: Biomedical query generator for knowledge discovery. BIBM 2015: 1092-1097 - [c4]Peter Li, Simon N. Yates, Jenna K. Lovely, David W. Larson:
Patient-like-mine: A real time, visual analytics tool for clinical decision support. IEEE BigData 2015: 2865-2867 - [c3]David R. Kaufman, Stephanie K. Furniss, María Adela Grando, David W. Larson, Matthew M. Burton:
A Sequential Data Analysis Approach to Electronic Health Record Workflow. CSHI 2015: 120-125 - 2014
- [c2]Matthew M. Burton, David W. Larson, Jenna K. Lovely, Tim Miksch, Steve G. Peters, Timothy Larson, John T. Wald, Bruce A. Evans:
Applied Clinical Informatics Best Practices in support of Clinical Next Best Practices: Integrating Knowledge Discovery to Delivery into Workflow. AMIA 2014 - 2012
- [c1]Kavishwar B. Wagholikar, Sunghwan Sohn, Stephen T. Wu, Vinod Kaggal, Sheila Buehler, Robert A. Greenes, Tsung-Teh Wu, David W. Larson, Hongfang Liu, Rajeev Chaudhry, Lisa Boardman:
Clinical Decision Support for Colonoscopy Surveillance Using Natural Language Processing. HISB 2012: 12-21
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