Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification

• Published in: 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) pp. 2507 - 2512
• Main Authors: Pereira, Ruben D. M. A., Almeida, Rui J., Kaymak, Uzay, Vieira, Susana M., Sousa, Joao M. C., Reti, Shane R., Howell, Michael D., Finkelstein, Stan N.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2011
• Subjects: Accuracy; Data models; Electric shock; Fuzzy C-Means; Missing Data; Partial Distance Strategy; Predictive models; Sensitivity; Sensitivity and specificity; Septic Shock; Zero-Order-Hold

Real-world databases often contain missing data and existing correction algorithms deliver varying performance. Also, most modeling techniques are not suitable to deal with them automatically. In this study we examine different approaches to predicting septic shock in the presence of missing data. S...