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decision support system based on artificial intelligence and systems biology for the simulation of pancreatic cancer patient status Children: Item: Title: Abstract Item: Title: INTRODUCTION Item: Title: METHODS Children: Item: Title: SICPAC study data Item: Title: Simulation of patients by systems biology Item: Title: Artificial intelligence analysis Item: Title: Web application Item: Title: RESULTS Children: Item: Title: Patient characteristics Item: Title: Time series analysis Item: Title: Ability to predict concentration values of outcome variables at next visit Item: Title: Ability to predict trends of outcome variables at next visit Item: Title: Relevant clinical and molecular variables in the prediction models Item: Title: Eosinophils Item: Title: Leukocytes Item: Title: Monocytes Item: Title: Platelets Item: Title: Hemoglobin and red blood cells Item: Title: Tool for aiding clinical decision making Item: Title: DISCUSSION Item: Title: AUTHOR CONTRIBUTIONS Item: Title: FUNDING 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