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Pharmacy Research

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Data-Driven Clinical Pharmacy Research: Utilizing Machine Learning and Medical Big Data.

Biological & pharmaceutical bulletin
To conduct clinical pharmacy research, we often face the limitations of conventional statistical methods and single-center observational study. To overcome these issues, we have conducted data-driven research using machine learning methods and medica...

Artificial intelligence in academic writing and clinical pharmacy education: consequences and opportunities.

International journal of clinical pharmacy
The current academic debate on the use of artificial intelligence (AI) in research and teaching has been ongoing since the launch of ChatGPT in November 2022. It mainly focuses on ethical considerations, academic integrity, authorship and the need fo...

Novel opportunities for clinical pharmacy research: development of a machine learning model to identify medication related causes of delirium in different patient groups.

International journal of clinical pharmacy
The advent of artificial intelligence (AI) technologies has taken the world of science by storm in 2023. The opportunities of this easy to access technology for clinical pharmacy research are yet to be fully understood. The development of a custom-ma...

A deep neural network model for classifying pharmacy practice publications into research domains.

Research in social & administrative pharmacy : RSAP
BACKGROUND: Pharmacy practice faculty research profiles extend beyond the clinical and social domains, which are core elements of pharmacy practice. But as highlighted by journal editors in the Granada Statements, there is no consensus on these terms...