Machine Learning Analysis of Time-Dependent Features for Predicting Adverse Events During Hemodialysis Therapy: Model Development and Validation Study.
Background: Hemodialysis (HD) therapy is an indispensable tool used in critical care management. Patients undergoing HD are at risk for intradialytic adverse events, ranging from muscle cramps to cardiac arrest. So far, there is no effective HD device-integrated algorithm to assist medical staff in...
| Publicado en: | Journal of Medical Internet Research Vol. 23; no. 9 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
JMIR Publications Inc.
Sep2021
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| Acceso en línea: | Ver este registro en EBSCOhost |