Cargando…
A Probabilistic Reasoning Method for Predicting the Progression of Clinical Findings from Electronic Medical Records
In this paper, we present a probabilistic reasoning method capable of generating predictions of the progression of clinical findings (CFs) reported in the narrative portion of electronic medical records. This method benefits from a probabilistic knowledge representation made possible by a graphical...
Autores principales: | Goodwin, Travis, Harabagiu, Sanda M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525214/ https://www.ncbi.nlm.nih.gov/pubmed/26306238 |
Ejemplares similares
-
Memory-Augmented Active Deep Learning for Identifying Relations Between Distant Medical Concepts in Electroencephalography Reports
por: Maldonado, Ramon, et al.
Publicado: (2018) -
Inferring the Interactions of Risk Factors from EHRs
por: Goodwin, Travis, et al.
Publicado: (2016) -
Learning relevance models for patient cohort retrieval
por: Goodwin, Travis R, et al.
Publicado: (2018) -
Deep Learning from EEG Reports for Inferring Underspecified Information
por: Goodwin, Travis R., et al.
Publicado: (2017) -
Automatically Linking Registered Clinical Trials to their Published Results with Deep Highway Networks
por: Goodwin, Travis R., et al.
Publicado: (2018)