首页|Curtin University Reports Findings in Machine Learning (Development of a pharmaceutical science systematic review process using a semi-automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting)
Curtin University Reports Findings in Machine Learning (Development of a pharmaceutical science systematic review process using a semi-automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsoriginating from Perth, Australia, by NewsRx correspondents, research stated, “Our objective was toestablish and test a machine learning-based screening process that would be applicable to systematic reviewsin pharmaceutical sciences. We used the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation,Research type) model, a broad search strategy, and a machine learning tool (Research Screener) to identifyrelevant references related to y-site compatibility of 95 intravenous drugs used in neonatal intensive caresettings.”
PerthAustraliaAustralia and New ZealandCyborgsDrugs and TherapiesEmerging TechnologiesHealth and MedicineMachine LearningPharmaceutical SciencesTherapy
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