Connection
Foster Goss to Retrospective Studies
This is a "connection" page, showing publications Foster Goss has written about Retrospective Studies.
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Connection Strength |
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0.185 |
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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.
Score: 0.059
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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.
Score: 0.059
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Wasserman RL, Edrees HH, Seger DL, Goss FR, Blumenthal KG, Lo YC, Blackley S, Bates DW, Zhou L. Development of a drug allergy alert tiering algorithm for penicillins and cephalosporins. Int J Med Inform. 2025 Mar; 195:105789.
Score: 0.017
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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.
Score: 0.014
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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.
Score: 0.014
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Vallamkonda S, Ortega CA, Lo YC, Blackley SV, Wang L, Seger DL, Blumenthal KG, Plasek JM, Goss F, Zhou L. Identifying and Reconciling Patients' Allergy Information Within the Electronic Health Record. Stud Health Technol Inform. 2022 Jun 06; 290:120-124.
Score: 0.014
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Genco EK, Forster JE, Flaten H, Goss F, Heard KJ, Hoppe J, Monte AA. Clinically Inconsequential Alerts: The Characteristics of Opioid Drug Alerts and Their Utility in Preventing Adverse Drug Events in the Emergency Department. Ann Emerg Med. 2016 Feb; 67(2):240-248.e3.
Score: 0.009
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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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