Publications by authors named "Rafael Cacao"
Article Synopsis
- The study focuses on pediatric patients who underwent decompressive craniectomy after traumatic brain injury, aiming to identify factors that influence outcomes.
- A machine learning approach, using random forest algorithms, was implemented to predict 6-month postoperative outcomes based on various clinical and laboratory data.
- The results showed a notable accuracy in predicting outcomes, with high areas under the curve for mortality and overall health status, indicating the potential effectiveness of these models in clinical settings.
We study discrete-time quantum walks on generalized Birkhoff polytope graphs (GBPGs), which arise in the solution-set to certain transportation linear programming problems (TLPs). It is known that quantum walks mix at most quadratically faster than random walks on cycles, two-dimensional lattices, hypercubes, and bounded-degree graphs. In contrast, our numerical results show that it is possible to achieve a greater than quadratic quantum speedup for the mixing time on a subclass of GBPG (TLP with two consumers and suppliers).
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