# 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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-role-of-decision-tree-and-machine-learning-models-for-outcome-prediction-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Omid Mehrpour,Farhad Saeedi,Varun Vohra,Jafar Abdollahi,Farshad M. Shirazi,Foster Goss |
| Citations | 15 |
| DOI | 10.1111/bcpt.13865 |
| Fields | Medicine,Pharmacology, Toxicology and Pharmaceutics |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4360803799 |
| PMID | 36960587 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Varun Vohra](https://scholariq.org/researchers/varun-vohra/)

## Paper journal

- [Basic & Clinical Pharmacology & Toxicology](https://scholariq.org/journals/basic-and-clinical-pharmacology-and-toxicology/)

## Paper primary topic

- [Poisoning and overdose treatments](https://scholariq.org/topics/poisoning-and-overdose-treatments/)

## Paper topics

- [Poisoning and overdose treatments](https://scholariq.org/topics/poisoning-and-overdose-treatments/)
- [Plant-based Medicinal Research](https://scholariq.org/topics/plant-based-medicinal-research/)
- [Pharmacovigilance and Adverse Drug Reactions](https://scholariq.org/topics/pharmacovigilance-and-adverse-drug-reactions/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.