Outcome Extraction
Outcome Extraction is a methodological process in data extraction that identifies and isolates specific research outputs—such as methods, models, frameworks, or metrics—from academic publications, distinguished by its focus on capturing contributory elements that represent the primary scholarly advancements reported in a study.
3
Publications
265
Citations
17
Authors
11
Institutions
Publications per year
2017–2026
1
Parents
3
Artificial intelligence-aided clinical annotation of a large multi-cancer genomic dataset
Kenneth L. Kehl, Wenxin Xu, Alexander Gusev et al. · Nature Communications · 2021 · 54 citations · Full text
Medicine, Bioinformatics, Oncology +17
1–5 of 3
17
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 17
11
Harvard University
Cambridge, United States
1 h-index
7 publications
378 citations
Dana-Farber Cancer Institute
Boston, United States
1 h-index
7 publications
378 citations

Brigham and Women's Hospital
Boston, United States
1 h-index
7 publications
378 citations

Broad Institute
Cambridge, United States
1 h-index
2 publications
108 citations
Rochester Institute of Technology
Rochester, United States
1 h-index
2 publications
108 citations
University of California, San Francisco
San Francisco, United States
1 h-index
2 publications
388 citations
Memorial Sloan Kettering Cancer Center
New York, United States
1 h-index
1 publications
54 citations
Dana-Farber/Harvard Cancer Center
Boston, United States
1 h-index
1 publications
54 citations
1–8 of 11
1 publications · 194 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 54 citations
1
h-index
Repository · 1 publications · 11 citations
1 publications · 12 citations
1–5