Predicting the target specialty of referral notes to estimate per-specialty wait times with machine learning

Currently, in Canada, existing health administrative data and hospital-inputted portal systems are used to measure the wait times to receiving a procedure or therapy after a specialist visit. However, due to missing and inconsistent labelling, estimating the wait time prior to seeing a specialist ph...

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Veröffentlicht in:	PloS one 2022-05, Vol.17 (5), p.e0267964-e0267964
Hauptverfasser:	Abdalla, Mohamed, Lu, Hong, Pinzaru, Bogdan, Rudzicz, Frank, Jaakkimainen, Liisa
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Automation Biology and Life Sciences Classification Computer and Information Sciences Confidence intervals Engineering and Technology Health care Health care industry Health care policy Health Policy Health Services Accessibility Humans Information management Labeling Labelling Labels Learning algorithms Machine Learning Medical referrals Medicine and Health Sciences Neural networks Ontario Patients People and Places Primary care Primary Health Care Referral and Consultation Regression models Statistical analysis Technology application Time measurement Waiting Lists
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