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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| Vydané v: | Journal of medical Internet research Ročník 24; číslo 1; s. e30720 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Canada
Journal of Medical Internet Research
06.01.2022
Gunther Eysenbach MD MPH, Associate Professor JMIR Publications |
| Predmet: | |
| ISSN: | 1438-8871, 1439-4456, 1438-8871 |
| On-line prístup: | Získať plný text |
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