Short-Term Mortality Prediction in Advanced Cancer Patients Eligible for End-of-Life (EOL) Care Processes Using Electronic Health Records
Purpose: For terminally ill cancer patients, accurate and consistent prediction of mortality can have far reaching implications for care delivery and resource utilization. The objective of this study was to apply machine learning and informatics methodologies to construct, test, and compare the perf...
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| Format: | Others |
| Language: | en |
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Harvard University
2015
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| Online Access: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:22837768 |