Severity Coding Rules
Severity Coding Rules is a methodological framework within coding guidelines that operationalizes the classification of textual or behavioral data by specifying standardized criteria to determine the relative seriousness or impact level of coded incidents, thereby distinguishing it from general coding protocols through its focused emphasis on gradations of harm, risk, or consequence.
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Authors
21
Institutions
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2017–2026
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Severity prediction rules in community acquired pneumonia: a validation study
Wei Shen Lim · Thorax · 2000 · 215 citations · Full text
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University of Pennsylvania
Philadelphia, United States
1 h-index
3 publications
69 citations
Krankenhaus Barmherzige Brüder
Regensburg, Germany
1 h-index
1 publications
43 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
1 publications
31 citations
AO Foundation
Davos, Switzerland
1 h-index
1 publications
43 citations
Myongji Hospital
Goyang-si, South Korea
1 h-index
2 publications
28 citations

Catholic Kwandong University
Gangneung, South Korea
1 h-index
4 publications
56 citations
Yonsei Sarang Hospital
Seoul, South Korea
1 h-index
2 publications
28 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
1 h-index
2 publications
62 citations
1–8 of 21
1 publications · 14 citations
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1 publications · 31 citations
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1 publications · 17 citations
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1 publications · 23 citations
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1 publications · 43 citations
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