Joshua C. Smith

Orcid: 0000-0003-2661-3203

Affiliations:
  • Vanderbilt University, School of Medicine, Department of Biomedical Informatics, Nashville, TN, USA


According to our database1, Joshua C. Smith authored at least 13 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease.
J. Am. Medical Informatics Assoc., February, 2024

2022
Natural language processing to identify lupus nephritis phenotype in electronic health records.
BMC Medical Informatics Decis. Mak., December, 2022

Do electronic health record systems "dumb down" clinicians?
J. Am. Medical Informatics Assoc., 2022


2021
ConceptWAS: A high-throughput method for early identification of COVID-19 presenting symptoms and characteristics from clinical notes.
J. Biomed. Informatics, 2021

Real-time clinical note monitoring to detect conditions for rapid follow-up: A case study of clinical trial enrollment in drug-induced torsades de pointes and Stevens-Johnson syndrome.
J. Am. Medical Informatics Assoc., 2021

Natural language processing to identify lupus nephritis phenotype in electronic health records.
CoRR, 2021

Predictive Model for Inpatient Mortality.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Natural Language Processing and Machine Learning to Enable Clinical Decision Support for Treatment of Pediatric Pneumonia.
Proceedings of the AMIA 2020, 2020

Real-time Clinical Note Monitoring to Detect Conditions for Follow-up: a Case Study of Clinical Trial Enrollment in Drug-induced Torsades de Pointes and Stevens-Johnson Syndrome.
Proceedings of the AMIA 2020, 2020

2018
Evaluation of a Novel System to Enhance Clinicians' Recognition of Preadmission Adverse Drug Reactions.
Appl. Clin. Inform., 2018

2014
Phenome-Wide Association Studies Using NLP-Derived Concepts.
Proceedings of the AMIA 2014, 2014

2013
Reducing patient re-identification risk for laboratory results within research datasets.
J. Am. Medical Informatics Assoc., 2013


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