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

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2011, Pages 2507-2512

  Pereira, Rúben D M A ^a,b   Fialho, André S ^a,b   Cismondi, Federico ^a   Vieira, Susana M ^b   Sousa, João M C ^b   Almeida, Rui J ^c   Kaymak, Uzay ^c   Reti, Shane R ^d   Howell, Michael D ^d   Finkelstein, Stan N ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^c Erasmus University Rotterdam   (Netherlands)

^d HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Fuzzy C Means; Missing Data; Partial Distance Strategy; Septic Shock; Zero Order Hold

Indexed keywords

FUZZY C MEAN; MISSING DATA; PARTIAL DISTANCE; SEPTIC SHOCKS; ZERO-ORDER-HOLD;

FUZZY CLUSTERING; FUZZY SYSTEMS;

DATA MINING;

EID: 80053072848     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2011.6007606     Document Type: Conference Paper

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