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...
Saved in:
Main Authors: | D. Thisuri N. De Silva (Author), Brioni R. Moore (Author), Tobias Strunk (Author), Michael Petrovski (Author), Vanessa Varis (Author), Kevin Chai (Author), Leo Ng (Author), Kevin T. Batty (Author) |
---|---|
Format: | Book |
Published: |
Wiley,
2024-02-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Physicochemical Compatibility of Sildenafil Injection with Parenteral Medications Used in Neonatal Intensive Care Settings
by: D. Thisuri N. De Silva, et al.
Published: (2024) -
Physicochemical compatibility of pentoxifylline injection with high‐concentration parenteral medications
by: S.M.D.K. Ganga Senarathna, et al.
Published: (2023) -
Drug compatibility with various closed intravenous infusion containers
by: Chang-yu Zhu, et al.
Published: (2024) -
In(compatibility) of intravenous drugs in critical units: adult cohort
by: Julia Helena Garcia, et al. -
Energy-Efficient and Semi-automated Truck Platooning Research and Evaluation /
Published: (2022)