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Mathematical Models in Nursing Research

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 14 Oct 2020 Italy Publisher:SAGE PublicationsJournal:Journal of Public Health Research, volume 9 (issn: 2279-9036, eissn: 2279-9036, Copyright policy )
Authors: Rea T.; Guillari A.; Sergi C.; Serra N.;

doi: 10.4081/jphr.2020.1952

pmid: 33381472

pmc: PMC7753321

handle: 11588/859036

Mathematical Models in Nursing Research

Abstract

This paper discusses the use of advanced mathematical tools in nursing research, such as mathematical models used in medicine for description and prediction of experimental tumor growth. They are rarely used in nursing research, but fortunately in the last decade, their use is increased, mainly due to artificial intelligence and Big Data, with great benefits for further nursing development. Therefore, a strong interaction between nurses and mathematicians is needed to improve nursing research, and consequently, the nurses’ performance in daily work.

Country
Italy
Related Organizations
Keywords

Big Data, Questionnaires, Mathematical models, Artificial neural networks, Nurse, Brief Report, Nursing research, questionnaires, nursing research, Nursing tools, nursing tools, Public aspects of medicine, RA1-1270, Artificial neural networks; Big Data; Mathematical models; Nurse; Nursing research; Nursing tools; Questionnaires, mathematical models, artificial neural networks

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
Green
gold
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