Faculty profile
Fatih Erenay
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Research
Latest funding
- $217,000
Data-driven stochastic dynamic programming approaches for optimal planning of disease screening and chronic disorder management
NSERC · 2018 · Principal investigator
- $138,000
Novel mathematical models for optimal screening and multicriteria scheduling problems
NSERC · 2012 · Principal investigator
Data-driven stochastic dynamic programming approaches for optimal planning of disease screening and chronic disorder management
Principal investigators: Erenay, Fatih
Keywords: stochastic dynamic programming; data-driven modeling and optimization; partially/completely observable markov decision processes; or applications in healthcare; optimal screening problem; data mining with machine learning; prediction models and clustering; cancer screening; als (amyotrophic lateral sclerosis) management; chronic disease management
Novel mathematical models for optimal screening and multicriteria scheduling problems
Principal investigators: Erenay, Fatih
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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