Machine Learning Cost Forecasting
Machine Learning Cost Forecasting is a computational forecasting method that leverages machine learning algorithms to predict future costs by identifying complex patterns and relationships in historical and contextual data, distinguishing it from traditional statistical or rule-based cost forecasting approaches through its adaptive, data-driven modeling capabilities.
82
Publications
3.3K
Citations
291
Authors
160
Institutions
Publications per year
2017–2026
71
Parents
82
Algorithmic Prediction of Health-Care Costs
Dimitris Bertsimas, Margrét V. Bjarnadóttir, Michael A. C. Kane et al. · Operations Research · 2008 · 206 citations
1–5 of 82
291
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Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
2 publications · 90 citations
2
h-index
1–5 of 291
160
Georgia Institute of Technology
Atlanta, United States
3 h-index
4 publications
348 citations

North China Electric Power University
Beijing, China
3 h-index
10 publications
174 citations

Yarmouk University
Irbid, Jordan
2 h-index
2 publications
214 citations
University of Bahrain
Madīnat ‘Īsá, Bahrain
2 h-index
3 publications
93 citations
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
Chennai, India
2 h-index
3 publications
48 citations
Egyptian Petroleum Research Institute
Cairo, Egypt
2 h-index
2 publications
157 citations
Michael E. DeBakey VA Medical Center
Houston, United States
2 h-index
7 publications
175 citations
King Khalid University
Abhā, Saudi Arabia
2 h-index
2 publications
214 citations
1–8 of 160
MPE · 4 publications · 105 citations
4
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3 publications · 108 citations
3
h-index
2 publications · 56 citations
2
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ATS · 2 publications · 49 citations
2
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2 publications · 48 citations
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