Jackson M. Steinkamp

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Health Information

Machine Learning

Natural Language

Ontology Based Information Extraction

Top Venues

J. Digit. Imaging

Appl. Clin. Inform.

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Pierre J. Chambon, Christopher Wu, Jackson M. Steinkamp, Jason Adleberg, Tessa Sundaram Cook, Curtis P. Langlotz
Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods. J. Am. Medical Informatics Assoc. 30 (2) (2023)
Hannah Horng, Jackson M. Steinkamp, Charles E. Kahn, Tessa Sundaram Cook
Ensemble Approaches to Recognize Protected Health Information in Radiology Reports. J. Digit. Imaging 35 (6) (2022)
Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, Tessa Sundaram Cook
Automatic Fully-Contextualized Recommendation Extraction from Radiology Reports. J. Digit. Imaging 34 (2) (2021)
Jacqueline M. Soegaard Ballester, Geoffrey Bass, Richard Urbani, Glenn Fala, Rutvij Patel, Damien Leri, Jackson M. Steinkamp, Joshua L. Denson, Roy Rosin, Srinath Adusumalli, Clarence William Hanson, Ross Koppel, Subha Airan-Javia
A Mobile, Electronic Health Record-Connected Application for Managing Team Workflows in Inpatient Care. Appl. Clin. Inform. 12 (5) (2021)
Wasif Bala, Jackson M. Steinkamp, Timothy Feeney, Avneesh Gupta, Abhinav Sharma, Jacob J. Kantrowitz, Nicholas Cordella, James Moses, Frederick Thurston Drake
A Web Application for Adrenal Incidentaloma Identification, Tracking, and Management Using Machine Learning. Appl. Clin. Inform. 11 (04) (2020)
Jackson M. Steinkamp, Wasif Bala, Abhinav Sharma, Jacob J. Kantrowitz
Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes. J. Biomed. Informatics 102 (2020)
Jackson M. Steinkamp, Charles Chambers, Darco Lalevic, Hanna M. Zafar, Tessa Sundaram Cook
Toward Complete Structured Information Extraction from Radiology Reports Using Machine Learning. J. Digit. Imaging 32 (4) (2019)