Joshua C. Smith
Orcid: 0000-0003-2661-3203Affiliations:
- 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:
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on orcid.org
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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
J. Am. Medical Informatics Assoc., 2022
Data-driven automated classification algorithms for acute health conditions: Applying PheNorm to COVID-19 disease.
Proceedings of the AMIA 2022, 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
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
Proceedings of the AMIA 2014, 2014
2013
Reducing patient re-identification risk for laboratory results within research datasets.
J. Am. Medical Informatics Assoc., 2013