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Zafar, Yousuf
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Patient Oriented
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Using machine learning for targeted advance care planning (ACP) conversations in cancer patients: a quality improvement initiative
Descrição:
Background: Despite improvements, patients with advanced cancer often do not receive goal-concordant care at the end of life (EOL). Challenges with prognostication contribute to delays ACP conversations and result in more aggressive care, gaps in...
Data Criada:
August 1-2, 2024
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Coleção
55th Annual Duke School of Medicine Student Research Symposium
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O Criador
Patel, Mihir
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Mentor
LeBlanc, Thomas
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Contributor
Acker, Yvonne
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Gollon, Jamie
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LeBlanc, Thomas
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Ma, Jessica
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Mara, Alexandria
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Sujeito
Advance care planning
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Advanced cancer
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End-of-life care
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Machine Learning
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Mortality prediction
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Platform Presentation
Yes, please
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Research Type
Patient Oriented
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Study Program
Epidemiology and Public Health Study Program (EPH) MPH and other Dual Degree Programs (MBA, JD, MPP)
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Dual Degree Program
Masters of Health Sciences in Clinical Research, Clinical Research Training Program (CRTP)
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Year
2024
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