Sağlık verilerinde metin madenciliği algoritmalarının analiz amaçlı kullanılması

Patients' narratives were analyzed through qualitative and quantitative textual analysis in order to create a system that can help the specialist in diagnosis. The patients' narratives were examined and checked if there were any relation between diagnosis and the knowledge as an outcome of mining the narratives. The different methods of text mining have been used to extract useful patterns and knowledge from these diagnostic groups. The most successful algorithms have been determined and selected to be used in the recommended system. Simultaneous use of more than one algorithm was examined and the results were compared. By selecting the most effective combination and system, success of the estimation process was tried to be increased. The result with the highest probability of success is suggested to the doctor. The results of the studies show that successful suggestions can be made with the proposed system and it has been observed that the system can have significant contributions in increasing the quality of the treatment of patients.