Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the united states: analysis of national poisoning data system

HIGHLIGHTS

• who: Omid Mehrpour from the (UNIVERSITY) have published the research work: Utility of support vector machine and decision tree to identify the prognosis of metformin poisoning in the United States: analysis of National Poisoning Data System, in the Journal: (JOURNAL) of December/31,/2017
• what: For the first time the authors aimed to study the efficacy of machine learning algorithms in predicting the outcome of metformin poisoning using two well-known classification methods including support vector machine (SVM) and decision tree (DT). repository of poisoning cases in the United States. The model showed that acidosis . . .
  

   

  

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