Logistic Regression-based Detection
Logistic Regression-Based Detection is a methodological approach within statistical pattern recognition that employs logistic regression models to classify or identify occurrences of specific phenomena by estimating the probability of an event based on input predictors.
39
Publications
1.4K
Citations
155
Authors
73
Institutions
Publications per year
2017–2026
27
39
1–5 of 39
155
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Universiti Malaysia Pahang Al-Sultan Abdullah, Malaysia
1 publications · 13 citations
1
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Smith-Kettlewell Eye Research Institute, United States
1 publications · 31 citations
1
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1–5 of 155
73
University Hospital Münster
Münster, Germany
1 h-index
3 publications
33 citations
Curtin University
Perth, Australia
1 h-index
2 publications
62 citations
Koneru Lakshmaiah Education Foundation
Vijayawada, India
1 h-index
2 publications
60 citations
National Defence University of Malaysia
Kuala Lumpur, Malaysia
1 h-index
1 publications
13 citations
Yale University
New Haven, United States
1 h-index
1 publications
124 citations
Siddhartha Medical College
Vijayawada, India
1 h-index
4 publications
84 citations
Kaiser Permanente Washington Health Research Institute
Seattle, United States
1 h-index
5 publications
70 citations

Amrita Vishwa Vidyapeetham
Coimbatore, India
1 h-index
3 publications
39 citations
1–8 of 73
2 publications · 207 citations
2
h-index
1 publications · 51 citations
1
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1 publications · 37 citations
1
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1 publications · 14 citations
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1 publications · 47 citations
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