Horus Predictor is a solution based on Machine Learning models that enables early clinical predictions from the patient's admission or in the first hours after. It provides accurate estimates of key indicators such as expected hospital stay or readmission risk, facilitating better planning and management of healthcare resources.
In the hospital setting, anticipating patient needs is a major challenge. The lack of effective predictive tools can hinder resource planning, prolong hospital stays and increase the risk of readmissions. Horus Predictor addresses this problem by providing reliable and timely predictions that enable medical teams to make informed and proactive decisions.
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