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Connection

Foster Goss to Decision Trees

This is a "connection" page, showing publications Foster Goss has written about Decision Trees.

 
Connection Strength
 
 
 
0.482
 
  1. Mehrpour O, Hoyte C, Nakhaee S, Megarbane B, Goss F. Using a decision tree algorithm to distinguish between repeated supra-therapeutic and acute acetaminophen exposures. BMC Med Inform Decis Mak. 2023 06 01; 23(1):102.
    View in: PubMed
    Score: 0.196
  2. Mehrpour O, Saeedi F, Vohra V, Abdollahi J, Shirazi FM, Goss F. The role of decision tree and machine learning models for outcome prediction of bupropion exposure: A nationwide analysis of more than 14?000 patients in the United States. Basic Clin Pharmacol Toxicol. 2023 Jul; 133(1):98-110.
    View in: PubMed
    Score: 0.194
  3. Mehrpour O, Saeedi F, Hoyte C, Goss F, Shirazi FM. 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. BMC Pharmacol Toxicol. 2022 07 13; 23(1):49.
    View in: PubMed
    Score: 0.046
  4. Mehrpour O, Hoyte C, Goss F, Shirazi FM, Nakhaee S. Decision tree algorithm can determine the outcome of repeated supratherapeutic ingestion (RSTI) exposure to acetaminophen: review of 4500 national poison data system cases. Drug Chem Toxicol. 2023 Nov; 46(4):692-698.
    View in: PubMed
    Score: 0.046
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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