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Artificial Intelligence and Decision Systems

Patient Scheduling in an Urgency Room (Part 1)

Efficient patient scheduling in an urgency room may lead to a life or death situation. The situation is even more critical in pandemic times, like the ones we leave today, in which the numbers of patients may increase significantly. Depending on a given number of patients in the waiting room and doctors in service, the goal is to minimize the patient waiting time for a consult. A critical component is how we should handle the different seriousness levels that each patient has. As standard in every urgency room, patients are labeled depending on their needs (maximum waiting time and the duration of the consults), usually with color bracelets. This project aims at addressing this problem of finding the patient/medical doctor association schedule, from now called the PMDA problem.

Medical Diagnosis (Part 2)

Medical diagnosis is the process of identifying the underlying cause of a set of symptoms. It is a critical step for determining the right treatment for the patients. It involves not only the patient’s symptoms but also tests/exams obtained for identifying specific diseases. This mini-project aims at providing the medical doctors a tool for helping in the patients’ diagnosis. It will take into account the symptoms, the possible diseases, and the uncertainty associated with the evidence (tests and exams).The goal of this project is to determine the most probable disease that the patient has, as well as its probability value.

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