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MLA

Lu, Lucy M., and Richard S. Segall. "Extract Clinical Lab Tests From Electronic Hospital Records Through Featured Transformer Model." IJPHIMT vol.10, no.1 2024: pp.1-18. http://doi.org/10.4018/IJPHIMT.336529

APA

Lu, L. M. & Segall, R. S. (2024). Extract Clinical Lab Tests From Electronic Hospital Records Through Featured Transformer Model. International Journal of Practical Healthcare Innovation and Management Techniques (IJPHIMT), 10(1), 1-18. http://doi.org/10.4018/IJPHIMT.336529

Chicago

Lu, Lucy M., and Richard S. Segall. "Extract Clinical Lab Tests From Electronic Hospital Records Through Featured Transformer Model," International Journal of Practical Healthcare Innovation and Management Techniques (IJPHIMT) 10, no.1: 1-18. http://doi.org/10.4018/IJPHIMT.336529

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Extract Clinical Lab Tests From Electronic Hospital Records Through Featured Transformer Model

International Journal of Practical Healthcare Innovation and Management Techniques (IJPHIMT)

The International Journal of Practical Healthcare Innovation and Management Techniques (IJPHIMT) publishes original research and reviews on practical innovations to support and manage healthcare-related issues. Aspects of interest can cover such diverse topics as bioengineering, biomechanics, modeling and simulation in healthcare, artificial intelligence and machine learning in medicine, and healthcare supply chain management. The journal publishes three types of rigorous and high-quality articles: research articles, research notes, and research reviews. Research articles are full papers presenting innovative findings that make substantial theoretical and empirical contributions to knowledge in the field by using various theoretical and methodological approaches. Research notes are novel, complete and concise high-quality research articles; they may include exploratory studies, extensions of articles previously published in IJPHIMT and summaries of doctoral theses in related areas. Research reviews are insightful and carefully crafted articles that conceptualize research areas, synthesize previous innovative findings, advance the understanding of the field, and identify and develop future research directions. Authors are welcome to submit manuscripts that qualify for any of these three categories.
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