Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Clinical Decision Support Systems: A Survey of NLP-Based Approaches from Unstructured Data
38
Zitationen
3
Autoren
2015
Jahr
Abstract
Clinical Decision Support on patients health outcomes can be performed from free text with Natural Language Processing techniques. However, it becomes a computational challenge due to the complexity of natural language. In recent years, several NLP-based approaches have been proposed to consider clinical decisions support. This paper presents a survey of Natural Language Processing approaches to support clinical decisions on patient health outcomes. The presented approaches are emphasized on the use of free text as input for diverse languages. An analysis of clinical decision support systems based on natural language processing in terms of their performance results is presented.
Ähnliche Arbeiten
"Why Should I Trust You?"
2016 · 14.811 Zit.
Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data
2005 · 10.562 Zit.
A Comprehensive Survey on Graph Neural Networks
2020 · 8.994 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.613 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.159 Zit.