Free-text Data Extraction
Free-Text Data Extraction is a computational method in the field of clinical informatics that identifies and structurally organizes relevant clinical information from unstructured narrative text in electronic health records for use in chief complaint surveillance.
380
Publications
16.1K
Citations
2K
Authors
615
Institutions
Publications per year
2017–2026
210
Parents
380
Potential of ChatGPT and GPT-4 for Data Mining of Free-Text CT Reports on Lung Cancer
Matthias A. Fink, Arved Bischoff, Christoph A. Fink et al. · Radiology · 2023 · 269 citations
1–5 of 380
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615
Harvard University
Cambridge, United States
19 h-index
102 publications
5.6K citations
University of Utah
Salt Lake City, United States
16 h-index
79 publications
3.3K citations
Stanford University
Stanford, United States
16 h-index
80 publications
3.3K citations
King's College London
London, United Kingdom
15 h-index
70 publications
7K citations
VA Salt Lake City Healthcare System
Salt Lake City, United States
11 h-index
44 publications
2.1K citations

Brigham and Women's Hospital
Boston, United States
11 h-index
65 publications
2.5K citations
University of California, San Francisco
San Francisco, United States
10 h-index
44 publications
3.1K citations
University of Pittsburgh
Pittsburgh, United States
10 h-index
32 publications
2.1K citations
1–8 of 615
Repository · 51 publications · 1.7K citations
26
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JAMIA · 21 publications · 1.8K citations
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17 publications · 959 citations
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JMI · 19 publications · 497 citations
15
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15 publications · 689 citations
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