David W. Larson

17 papers Misc 5Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2022 J jnl
Real-time risk prediction of colorectal surgery-related post-surgical complications using GRU-D model.
J. Biomed. Informatics
Xiaoyang Ruan, Sunyang Fu, Curtis B. Storlie, Kellie L. Mathis, David W. Larson, Hongfang Liu
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
2017 J jnl
Coordinating clinic and surgery appointments to meet access service levels for elective surgery.
J. Biomed. Informatics
Pooyan Kazemian, Mustafa Y. Sir, Mark P. Van Oyen, Jenna K. Lovely, David W. Larson, Kalyan S. Pasupathy
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
2017 — conf
Using Unstructured Data to Identify Readmitted Patients.
ICHI
Majid Rastegar-Mojarad, Jenna K. Lovely, Joshua J. Pankratz, Sunghwan Sohn, Donna M. Ihrke, Amit Merchea, David W. Larson, Hongfang Liu
2016 Misc conf
A Data-Driven Approach for Better Assignment of Clinical and Surgical Capacity in an Elective Surgical Practice.
AMIA
Gabriela Martinez, Brian J. Bernard, David W. Larson, Kalyan S. Pasupathy, Mustafa Y. Sir
2016 Misc conf
Integrating Process Mining and Cognitive Analysis to Study EHR Workflow.
AMIA
Stephanie K. Furniss, Matthew M. Burton, Adela Grando, David W. Larson, David R. Kaufman
2015 — conf
A Sequential Data Analysis Approach to Electronic Health Record Workflow.
CSHI
David R. Kaufman, Stephanie K. Furniss, María Adela Grando, David W. Larson, Matthew M. Burton
2015 — conf
BmQGen: Biomedical query generator for knowledge discovery.
BIBM
Feichen Shen, Hongfang Liu, Sunghwan Sohn, David W. Larson, Yugyung Lee
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 — conf
Patient-like-mine: A real time, visual analytics tool for clinical decision support.
IEEE BigData
Peter Li, Simon N. Yates, Jenna K. Lovely, David W. Larson
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
Applied Clinical Informatics Best Practices in support of Clinical Next Best Practices: Integrating Knowledge Discovery to Delivery into Workflow.
AMIA
Matthew M. Burton, David W. Larson, Jenna K. Lovely, Tim Miksch, Steve G. Peters, Timothy Larson, John T. Wald, Bruce A. Evans
2012 — conf
Clinical Decision Support for Colonoscopy Surveillance Using Natural Language Processing.
HISB
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