Binary Risk Classification Models
Binary Risk Classification Models is a risk classification framework that distinguishes between two mutually exclusive risk categories by assigning entities to one of two discrete risk states based on predefined criteria.
8
Publications
356
Citations
32
Authors
18
Institutions
Publications per year
2017–2026
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Parents
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1–5 of 8
32
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18

University of Naples Federico II
Naples, Italy
2 h-index
6 publications
258 citations
Oregon Health & Science University
Portland, United States
2 h-index
4 publications
133 citations
Istituti Clinici Scientifici Maugeri
Pavia, Italy
2 h-index
10 publications
492 citations
Fondazione Salvatore Maugeri
Pavia, Italy
1 h-index
1 publications
12 citations
Ibis Reproductive Health
Cambridge, United States
1 h-index
1 publications
68 citations

Karolinska Institutet
Stockholm, Sweden
1 h-index
4 publications
208 citations

Uppsala University
Uppsala, Sweden
1 h-index
2 publications
104 citations
Bioscience (China)
Tianjin, China
1 h-index
2 publications
54 citations
1–8 of 18
1 publications · 15 citations
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Repository · 1 publications · 27 citations
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JSR · 1 publications · 92 citations
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1 publications · 52 citations
1
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1 publications · 74 citations
1
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1–5