A ROM-accelerated BDDC solver for unfitted p-FEM on level-set lattices solves problems with over 17,000 varying cells in about 30 seconds on a laptop while keeping iteration counts bounded.
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A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.
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A ROM-based BDDC solver for unfitted p-FEM level-set-based lattice structures
A ROM-accelerated BDDC solver for unfitted p-FEM on level-set lattices solves problems with over 17,000 varying cells in about 30 seconds on a laptop while keeping iteration counts bounded.
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Policy Learning with Observational Data: The Case of Hepatitis C Treatment for HIV/HCV Co-Infected Patients
A weighted K-means plus decision-tree pipeline learns multi-action policies from observational data and is applied to HCV treatment choices for HIV co-infected patients, finding a high-clearance subgroup and potential cost savings of CAN$3.6-4.9 million.