Predictive Data Mining and pattern recognition in the medical sector: Implementation and experience

Implementation and Applications of Data Min

“…The arbitrary size clusters were determined using the density based methods such as DBSCAN and OPTICS On the other hand, hierarchical and partitioning methods are used in order to identify the spherically shaped clusters Density based methods are referred as the exclusive clusters, and they can be extended from full to subspace clustering 8 Data mining applications increase in health care due to the vast information in the health sector which was managed with the data mining The healthcare organization collects and generate the large information regularly Data mining and knowledge in the information technology generated some patterns which help in removing the manual tasks, electronic transfer system helps in securing the medical records, helps in easy extraction of the data from the electronic records, minimizes the cost of the various medical services, save lives It also helps in detecting the infectious diseases which were based on the advanced data collection [9] Data mining enables the healthcare organization to anticipate various trends in the patient s behavior and medical condition Data mining also provide various options for analyzing several data models which are hidden or less visible in the common techniques of the analysis The patterns of the data mining used in the healthcare organizations for diagnosis, forecast and the treatment of the patients 9…”

Descoberta de conhecimento a partir de informações não estruturadas por meio de técnicas de correlação e associação

“…O processo de Descoberta de Conhecimento em Bases de Dados tem por objetivo identificar e desvendar relacionamentos implícitos entre as informações armazenadas nas bases de dados organizacionais (SILVA;ROVER, 2011). O KDD surgiu como uma alternativa para solucionar o problema da sobrecarga de dados na era da informação digital (SHABBIR et al, 2014). Para Zhu et al (2013), o processo de KDD se constitui na análise e na exploração automática ou semiautomática de grandes volumes de dados, objetivando desvendar regras e padrões significativos.…”