Sequential Data–Based Patient Similarity Framework for Patient Outcome Prediction: Algorithm Development
Sequential information in electronic medical records is valuable and helpful for patient outcome prediction but is rarely used for patient similarity measurement because of its unevenness, irregularity, and heterogeneity. We aimed to develop a patient similarity framework for patient outcome predict...
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| Published in: | Journal of medical Internet research Vol. 24; no. 1; p. e30720 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Canada
Journal of Medical Internet Research
06.01.2022
Gunther Eysenbach MD MPH, Associate Professor JMIR Publications |
| Subjects: | |
| ISSN: | 1438-8871, 1439-4456, 1438-8871 |
| Online Access: | Get full text |
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