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Patients diagnosed with co-morbidities are clinically compromised, facing social and psychological challenges. The identification of high risk patients is a key question to maximize their quality of life and the Health System's resources. Objective: to determine patterns that identify eligible patients for Case Management Programs, with KDD and AI tools. Methodology: analysis, selection and correction, formatting and mining of data, analysis of results, data submission to an AI tool. Results: solid recommendations on benefits that Health Systems could obtain by using these tools, regarding the acknowledgement of their users profile and the use of predictive modeling.
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