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A Novel Fuzzy Logic Inference System for Decision Support in Weaning from Mechanical Ventilation

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Weaning from mechanical ventilation represents one of the most challenging issues in management of critically ill patients. Currently used weaning predictors ignore many important dimensions of weaning outcome and have not been uniformly successful. A fuzzy logic inference system that uses nine variables, and five rule blocks within two layers, has been designed and implemented over mathematical simulations and random clinical scenarios, to compare its behavior and performance in predicting expert opinion with those for rapid shallow breathing index (RSBI), pressure time index and Jabour’ weaning index. RSBI has failed to predict expert opinion in 52% of scenarios. Fuzzy logic inference system has shown the best discriminative power (ROC: 0.9288), and RSBI the worst (ROC: 0.6556) in predicting expert opinion. Fuzzy logic provides an approach which can handle multi-attribute decision making, and is a very powerful tool to overcome the weaknesses of currently used weaning predictors.

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Authors wish to thank Prof. Dr. Inan Guler, for his invaluable inputs in the preliminary discussion of the subject.

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Correspondence to Yusuf Alper Kilic.

Appendix 1. Calculation of conventional weaning predictors

Appendix 1. Calculation of conventional weaning predictors

  • Rapid Shallow Breathing Index has been calculated as

    $${\text{RSBI}} = {f_{{\text{S}}} } \mathord{\left/{\vphantom {{f_{{\text{S}}} } {{\text{TV}}_{{\text{S}}} }}} \right.\kern-\nulldelimiterspace} {{\text{TV}}_{{\text{S}}} }$$
  • Pressure Time Index has been calculated as

    $${\text{PTI}} = {\left( {{P_{{{\text{breath}}}} } \mathord{\left/{\vphantom {{P_{{{\text{breath}}}} } {{\text{NIP}}}}} \right.\kern-\nulldelimiterspace} {{\text{NIP}}}} \right)} \times {\left( {{T_{{\text{I}}} } \mathord{\left/{\vphantom {{T_{{\text{I}}} } {T_{{{\text{TOT}}}} }}} \right.\kern-\nulldelimiterspace} {T_{{{\text{TOT}}}} }} \right)}$$


    $$P_{{{\text{breath}}}} = {\left( {P_{{{\text{peak}}}} - {\text{PEEP}}} \right)} \times {\left( {{{\text{TV}}_{{\text{S}}} } \mathord{\left/{\vphantom {{{\text{TV}}_{{\text{S}}} } {{\text{TV}}_{{\text{M}}} }}} \right.\kern-\nulldelimiterspace} {{\text{TV}}_{{\text{M}}} }} \right)}$$
  • Jabour’ Weaning Index has been calculated as

    $${\text{JWI}} = {\text{PTI}} \times {\left( {{{\text{VE}}_{{40}} } \mathord{\left/{\vphantom {{{\text{VE}}_{{40}} } {{\text{TV}}_{{\text{M}}} }}} \right.\kern-\nulldelimiterspace} {{\text{TV}}_{{\text{M}}} }} \right)}$$


    $${\text{VE}}_{{40}} = {\left( {f_{{\text{M}}} \times {\text{TV}}_{{\text{M}}} } \right)} \times {\left( {{{\text{PaCO}}_{{\text{2}}} } \mathord{\left/{\vphantom {{{\text{PaCO}}_{{\text{2}}} } {40}}} \right.\kern-\nulldelimiterspace} {40}} \right)}$$
P breath :

Avarage inspiratory muscle pressure per breath


Negative inspiratory pressure

T I :

Inspiratory time


Total breath duration

P peak :

Peak airway pressure


Positive end expiratory pressure


Tidal volume on spontaneous breathing


Tidal volume on mechanical ventilation

VE40 :

Estimate of minute volume required to achieve a PCO2 of 40 mmHg

f M :

Frequency on mechanical ventilation

f S :

Frequency on spontaneous ventilation

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Kilic, Y.A., Kilic, I. A Novel Fuzzy Logic Inference System for Decision Support in Weaning from Mechanical Ventilation. J Med Syst 34, 1089–1095 (2010).

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