Recall Metrics
Recall Metrics is a quantitative measurement framework used in medication safety science to systematically evaluate the efficiency, completeness, and timeliness of pharmaceutical recall executions by distinguishing specific performance indicators such as recall initiation time, distribution traceability rate, and product recovery ratio.
132
Publications
7.4K
Citations
436
Authors
197
Institutions
Publications per year
2017–2026
49
Parents
132
Stroke Risk Prediction with Machine Learning Techniques
Linked open data to support content-based recommender systems
Tommaso Di Noia, Roberto Mirizzi, Vito Claudio Ostuni et al. · 2012 · 274 citations
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197

University of British Columbia
Vancouver, Canada
3 h-index
4 publications
46 citations
Brown University
Providence, United States
2 h-index
4 publications
138 citations

University of Waterloo
Waterloo, Canada
2 h-index
7 publications
191 citations
IBM (United States)
Armonk, United States
2 h-index
2 publications
97 citations

University of Tehran
Tehran, Iran
2 h-index
3 publications
43 citations
University of Illinois Chicago
Chicago, United States
2 h-index
4 publications
108 citations
Universiti Malaysia Sarawak
Kuching, Malaysia
2 h-index
3 publications
57 citations
University of Arizona
Tucson, United States
2 h-index
4 publications
418 citations
1–8 of 197
7 publications · 1.6K citations
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Repository · 5 publications · 64 citations
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Repository · 4 publications · 147 citations
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3 publications · 179 citations
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Conference · 2 publications · 55 citations
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