Mustering Machines’ Meticulous Mastery: A Machine-Learning Model for Classifying Pharmacy Practice Publications into Research Domains

Objective: To establish an objective, machine-learning classifier for faculty publications into research domains (Clinical, Social & Administrative, Education, and Translational), to address the heterogeneity in pharmacy practice faculty research publications.

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Publication Details

Journal
American Journal of Pharmaceutical Education
Published
2024-09-01
DOI
https://doi.org/10.1016/j.ajpe.2024.100872
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Mustering Machines’ Meticulous Mastery: A Machine-Learning Model for Classifying Pharmacy Practice Publications into Research Domains

Samuel O. Adeosun, Afua B. Faibille, Jerotich T. Mutwol, Taylor McMannen et al.
American Journal of Pharmaceutical Education
Biomedical Text Mining and Ontologies
article

Mustering Machines’ Meticulous Mastery: A Machine-Learning Model for Classifying Pharmacy Practice Publications into Research Domains

Samuel O. Adeosun, Afua B. Faibille, Jerotich T. Mutwol, Taylor McMannen, A. Qadir
article en

Abstract

Objective: To establish an objective, machine-learning classifier for faculty publications into research domains (Clinical, Social & Administrative, Education, and Translational), to address the heterogeneity in pharmacy practice faculty research publications.

American Journal of Pharmaceutical EducationVol. 88(9)
High Point University (US)
Openalex Percentile: Top 87%
Biomedical Text Mining and Ontologies
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