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Connection

Christopher Hoyte to Machine Learning

This is a "connection" page, showing publications Christopher Hoyte has written about Machine Learning.

 
Connection Strength
 
 
 
0.903
 
  1. Mehrpour O, Saeedi F, Vohra V, Hoyte C. Outcome prediction of methadone poisoning in the United States: implications of machine learning in the National Poison Data System (NPDS). Drug Chem Toxicol. 2024 Sep; 47(5):556-563.
    View in: PubMed
    Score: 0.696
  2. Mehrpour O, Saeedi F, Nakhaee S, Tavakkoli Khomeini F, Hadianfar A, Amirabadizadeh A, Hoyte C. 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. BMC Med Inform Decis Mak. 2023 04 06; 23(1):60.
    View in: PubMed
    Score: 0.167
  3. Mehrpour O, Hoyte C, Delva-Clark H, Al Masud A, Biswas A, Schimmel J, Nakhaee S, Goss F. Classification of acute poisoning exposures with machine learning models derived from the National Poison Data System. Basic Clin Pharmacol Toxicol. 2022 Dec; 131(6):566-574.
    View in: PubMed
    Score: 0.040
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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