Digital patient models based on Bayesian networks for clinical treatment decision support.
Increasing complexity in the management of oncologic diseases due to advances in diagnostics and individualized treatments demands new techniques of comprehensive decision support. Digital patient models (DPMs) are developed to collect, structure, and evaluate information to improve the decision-mak...
| Publicado en: | Minimally Invasive Therapy & Allied Technologies Vol. 28; no. 2; pp. 105 - 120 |
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| Autores principales: | , |
| Formato: | pictorial tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |