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The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States.
Mehrpour, Omid; Saeedi, Farhad; Abdollahi, Jafar; Amirabadizadeh, Alireza; Goss, Foster.
Affiliation
  • Mehrpour O; Michigan Poison & Drug Information Center, Wayne State University School of Medicine, Detroit, Michigan, United States.
  • Saeedi F; Rocky Mountain Poison and Drug Safety, Denver Health and Hospital Authority, Denver, CO, United States.
  • Abdollahi J; Medical Toxicology and Drug Abuse Research Center, Birjand University of Medical Sciences, Birjand, Iran.
  • Amirabadizadeh A; Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran.
  • Goss F; Department of Computer Engineering, Ardabil Branch, Islamic Azad University, Ardabil, Iran.
J Res Med Sci ; 28: 49, 2023.
Article in En | MEDLINE | ID: mdl-37496638
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Res Med Sci Year: 2023 Document type: Article Affiliation country:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: J Res Med Sci Year: 2023 Document type: Article Affiliation country: