CrossRef Text and Data Mining
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Effectiveness of pre-admission data and letters of recommendation to predict students who will need professional behavior intervention during clinical rotations in the United States
Chalee Engelhard, Rebecca Leugers, Jenna Stephan
J Educ Eval Health Prof. 2016;13:26  Published online June 27, 2016
DOI: https://doi.org/10.3352/jeehp.2016.13.26

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Effectiveness of pre-admission data and letters of recommendation to predict students who will need professional behavior intervention during clinical rotations in the United States
Journal of Educational Evaluation for Health Professions. 2016;13:26   Crossref logo
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Impact of individualized learning plans on United States senior medical students advanced clinical rotations
Journal of Educational Evaluation for Health Professions. 2016;13:39   Crossref logo
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Using admission data to predict success on the NCLEX-RN in a baccalaureate program
Journal of Professional Nursing. 1985;1(6):364-368   Crossref logo
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United States resident physician smartphone use during international clinical rotations
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Pre-clinical versus clinical medical students’ attitudes towards the poor in the United States
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Ethical issues confronted by medical students during clinical rotations
Medical Education. 2010;44(7):723-730   Crossref logo
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Using Automated Clinical Data on Admission to Predict Mortality of Patients with Pneumonia
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Junior nursing students' experiences of vertical violence during clinical rotations
Nursing Outlook. 2009;57(4):226-231   Crossref logo
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P2.4 Can pre-admission questionnaires on seizure/attack frequency be used to predict diagnostic yield from in-patient long-term video EEG monitoring?
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Can an Artificial Neural Network Predict the Need for Hospital Admission Using Routine Triage Data?
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