Machine Learning-based Normalization
Machine Learning-Based Normalization is a computational approach within biomedical concept normalization that employs machine learning algorithms to map heterogeneous biomedical mentions to standardized entries in a reference ontology by learning contextual and semantic representations from data.
62
Publications
3.5K
Citations
193
Authors
87
Institutions
Publications per year
2017–2026
38
62
Data Mining: A Preprocessing Engine
Luai Al-Shalabi, Zyad Shaaban, Basel Kasasbeh · Journal of Computer Science · 2006 · 606 citations
1–5 of 62
193
National Center for Biotechnology Information, United States
8 publications · 885 citations
8
h-index
National Center for Biotechnology Information, United States
6 publications · 799 citations
6
h-index
National Center for Biotechnology Information, United States
4 publications · 149 citations
4
h-index
3
h-index
2
h-index
1–5 of 193
87
National Center for Biotechnology Information
Bethesda, United States
7 h-index
24 publications
2.8K citations
National Institutes of Health
Bethesda, United States
5 h-index
17 publications
1.2K citations
Lviv Polytechnic National University
Lviv, Ukraine
2 h-index
8 publications
444 citations
University of Arizona
Tucson, United States
2 h-index
7 publications
249 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
98 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
4 publications
146 citations

Universidad Carlos III de Madrid
Madrid, Spain
2 h-index
3 publications
46 citations
Fondazione Bruno Kessler
Trento, Italy
1 h-index
2 publications
46 citations
1–8 of 87
5 publications · 616 citations
5
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Repository · 4 publications · 102 citations
4
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3 publications · 308 citations
3
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JAMIA · 2 publications · 53 citations
2
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2 publications · 45 citations
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1–5