Wcn24-2554 Use and Applicability of Machine Learning Models for Predicting Renal Failure in Complex Clinical Settings: Comparative Analysis With Classical Methods

In Colombia, as in the world, CKD is one of the main causes of morbimortality and was the first disease to be considered a high-cost disease. Despite multiple efforts, the incidence of renal failure and the need for replacement therapy continues to increase. Worryingly, in younger and younger people. Clinical practice and decision making are difficult due to the high fragmentation of the health system and the lack of comprehensiveness in primary care and prevention programs. Thus, there is still great uncertainty as to which patients are stabilized and which will experience renal failure.