Irish journal of medical science
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Review
What factors influence medical students to enter a career in general practice? A scoping review.
Internationally, healthcare systems are providing more community-based care. Consequently, there is an increasing demand for GPs and other healthcare professionals to work in primary care and this has implications for undergraduate medical education. ⋯ Curriculum and personal factors have a key role in influencing students to pursue a career in general practice. As much of the existing research involves cross-sectional designs involving small numbers of participants, further research adopting prospective, quasi-experimental designs involving larger cohorts is a priority.
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Review
What factors influence medical students to enter a career in general practice? A scoping review.
Internationally, healthcare systems are providing more community-based care. Consequently, there is an increasing demand for GPs and other healthcare professionals to work in primary care and this has implications for undergraduate medical education. ⋯ Curriculum and personal factors have a key role in influencing students to pursue a career in general practice. As much of the existing research involves cross-sectional designs involving small numbers of participants, further research adopting prospective, quasi-experimental designs involving larger cohorts is a priority.
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Supervised machine learning (ML) is a class of algorithms that "learn" from existing input-output pairs, which is gaining popularity in pattern recognition for classification and prediction problems. In this scoping review, we examined the use of supervised ML algorithms for the prediction of long-term allograft survival in kidney transplant recipients. Data sources included PubMed, the Cumulative Index to Nursing and Allied Health Literature, and the Institute for Electrical and Electronics Engineers (IEEE) Xplore libraries from inception to November 2019. ⋯ We synthesized the evidence related to the comparison of ML techniques with traditional statistical approaches for prediction of long-term allograft survival in patients with a kidney transplant. The methodological and reporting quality of included studies was poor. Our study also demonstrated mixed results in terms of the predictive potential of the models.
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Supervised machine learning (ML) is a class of algorithms that "learn" from existing input-output pairs, which is gaining popularity in pattern recognition for classification and prediction problems. In this scoping review, we examined the use of supervised ML algorithms for the prediction of long-term allograft survival in kidney transplant recipients. Data sources included PubMed, the Cumulative Index to Nursing and Allied Health Literature, and the Institute for Electrical and Electronics Engineers (IEEE) Xplore libraries from inception to November 2019. ⋯ We synthesized the evidence related to the comparison of ML techniques with traditional statistical approaches for prediction of long-term allograft survival in patients with a kidney transplant. The methodological and reporting quality of included studies was poor. Our study also demonstrated mixed results in terms of the predictive potential of the models.
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Review
A brief literature review of the psychological benefits of volunteerism in watersports inclusion.
The 2009 National Guidelines on Physical Activity for Ireland assert that 'all people with disabilities should be active'. Events such as the Watersports Inclusion Games invite individuals across the full spectrum of abilities to take part in physical activity in the form of adaptive watersports. This literature review aims to assess the value of inclusive watersport events such as this in the context of what is currently published on the motivation and benefits for volunteers in watersports inclusion. ⋯ The outcomes of this review suggest that, while there are many papers published on the benefits for volunteers in general and in sport, there is a relative paucity of literature on volunteers in inclusive sport, and even less relating to inclusive watersports. This review identifies a powerful opportunity to provide evidence to support the benefits of inclusive watersport for both participants and volunteers. Further research is required on why volunteers become involved in inclusive watersports and the benefits they derive from their involvement.