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Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System.

Omid MehrpourFarhad SaeediSamaneh NakhaeeFarbod Tavakkoli KhomeiniAli HadianfarAlireza AmirabadizadehChristopher Hoyte
Published in: BMC medical informatics and decision making (2023)
Our results indicated that machine learning methods including decision tree and ensembling methods provide a precise prediction model to diagnose biguanides and sulfonylureas exposure.
Keyphrases
  • machine learning
  • big data
  • artificial intelligence
  • decision making
  • electronic health record
  • deep learning