Christopher Knaplund

According to our database1, Christopher Knaplund authored at least 19 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Healthcare Process Modeling to Phenotype Clinician Behaviors for Exploiting the Signal Gain of Clinical Expertise (HPM-ExpertSignals): Development and evaluation of a conceptual framework.
J. Am. Medical Informatics Assoc., 2021

Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events.
J. Am. Medical Informatics Assoc., 2021

Identifying nursing documentation patterns associated with patient deterioration and recovery from deterioration in critical and acute care settings.
Int. J. Medical Informatics, 2021

Supervised Machine Learning of Nursing Flowsheet Data to Identify a Signal of Racial Bias.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Pre- and Intra-COVID-19 Comparison of Nursing Flowsheet Documentation Burden in Acute and Critical Care Units.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Assessing CONCERN: Analysis of Application Log Files to Investigate the Utilization of a Clinical Decision Support Tool for Identifying Risky Patients.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Development and validation of early warning score system: A systematic literature review.
J. Biomed. Informatics, 2020

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration.
Int. J. Medical Informatics, 2020

Identifying nurses' concern concepts about patient deterioration using a standard nursing terminology.
Int. J. Medical Informatics, 2020

Utilizing Timestamps of Longitudinal Data from Electronic Health Record to Predict Clinical Deterioration Events.
Proceedings of the AMIA 2020, 2020

2019
Unsupervised Machine Learning of Topics Documented by Nurses about Hospitalized Patients Prior to a Rapid-Response Event.
Appl. Clin. Inform., 2019

CONCERN Factorial Design Survey (FDS) Methods Test: Using REDCap as a Survey Platform.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Leveraging Clinical Expertise as a Feature - not an Outcome - of Predictive Models: Evaluation of an Early Warning System Use Case.
Proceedings of the AMIA 2019, 2019

Factorial Design Survey Methodology on REDCap and Qualtrics: A Comparative Analysis.
Proceedings of the AMIA 2019, 2019

2018
Identifying Concepts of Nurses' Concerns Using a Standard Nursing Terminology.
Proceedings of the AMIA 2018, 2018

Harmonizing Flowsheet Datasets Across EHRs for a Multi-Site Study.
Proceedings of the AMIA 2018, 2018

Quantifying and Visualizing Nursing Flowsheet Documentation Burden in Acute and Critical Care.
Proceedings of the AMIA 2018, 2018

2013
The number of DFAs for a given spanning tree.
J. Supercomput., 2013

On the Construction of a Family of Automata That Are Generically Non-minimal.
Proceedings of the Language and Automata Theory and Applications, 2013


  Loading...