Data Mining to Determine Behavioral Patterns in Respiratory Disease in Pediatric Patients

There are several varieties of respiratory diseases which mainly affect children between 0 and 5 years age, not having a complete report the behavior each these. This research seeks to conduct study patterns in Peru through data mining, using generated by health sector, organizations 2015 2019. process was given means K-Means clustering algorithm allowed performing an analysis this identifying total 10,000 Peruvian clinical records mentioned, generating different behaviors. Through grouping obtained clusters, it as result that most cases all ages studied, they presented with codes range 000 060 approximately. carried out order help centers for further study, documentation due decision-making, waiting optimal prevention strategies regarding diseases.