Patient-Reported Symptoms Improve Performance of Risk Prediction Models for Emergency Department Visits Among Patients With Cancer: A Population-Wide Study in Ontario Using Administrative Data-Reference-Cited by-同舟云学术

Patient-Reported Symptoms Improve Performance of Risk Prediction Models for Emergency Department Visits Among Patients With Cancer: A Population-Wide Study in Ontario Using Administrative Data

Published:2019-11 Issue:5 Volume:58 Page:745-755
ISSN:0885-3924
Container-title:Journal of Pain and Symptom Management
language:en
Short-container-title:Journal of Pain and Symptom Management

Author:

Sutradhar Rinku,Rostami Mehdi,Barbera Lisa

Funder

ICES

Ontario Ministry of Health and Long-Term Care

Cancer Care Ontario

Government of Ontario

Publisher

Elsevier BV

Subject

Anesthesiology and Pain Medicine,Neurology (clinical),General Nursing

Reference36 articles.

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5. Frequency and cost of chemotherapy-related serious adverse effects in a population sample of women with breast cancer;Hassett;J Natl Cancer Inst,2006

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3. Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study;JMIR Medical Informatics;2023-12-06

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