Development of a pharmaceutical science systematic review process using a semi‐automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting

Abstract Our objective was to establish and test a machine learning‐based screening process that would be applicable to systematic reviews in pharmaceutical sciences. We used the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) model, a broad search strategy, and a machine...

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Hlavní autoři:	D. Thisuri N. De Silva, Brioni R. Moore, Tobias Strunk, Michael Petrovski, Vanessa Varis, Kevin Chai, Leo Ng, Kevin T. Batty
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2024-02-01
Edice:	Pharmacology Research & Perspectives
Témata:	machine learning pharmaceutical science physicochemical compatibility systematic review
On-line přístup:	https://doi.org/10.1002/prp2.1170
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